Our Company
We are dedicated to employing the best talent in the world.
This makes Multiverse Computing an incredible place to build your career, as you will be working alongside world leading experts in quantum computing, tensor networks, machine learning and finance.
Founders
Samuel Mugel
Expert in quantum computing and quantum machine learning. PhD jointly awarded by ICFO (Spain) and the University of Southampton (UK). Formerly Computational physicist at Cortirio (UK), Technical Director at The Quantum Revolution Fund, and Founder and CTO at Groundstate Consulting. Advisor for the McKinsey Tech Council and the Forbes Tech Council, and Mentor at the Creative Destruction Lab.
Expert in quantum computing and quantum machine learning. PhD jointly awarded by ICFO (Spain) and the University of Southampton (UK). Formerly Computational physicist at Cortirio (UK), Technical Director at The Quantum Revolution Fund, and Founder and CTO at Groundstate Consulting. Advisor for the McKinsey Tech Council and the Forbes Tech Council, and Mentor at the Creative Destruction Lab.
Román Orús
Quantum physicist. PhD. Ikerbasque Research Professor at DIPC. Visiting professor at the BSC. Johannes Guttenberg Universität Mainz, University of Queensland, Max Planck Institute, CNRS, Marie Curie IIF, Early Career Prize from the European Physical Society. Author of numerous highly-cited papers on quantum physics and computation. Steering Board of Quantum Journal. Partner of Entanglement Partners. Ex-President of GEIC in the RSEF.
Quantum physicist. PhD. Ikerbasque Research Professor at DIPC. Visiting professor at the BSC. Johannes Guttenberg Universität Mainz, University of Queensland, Max Planck Institute, CNRS, Marie Curie IIF, Early Career Prize from the European Physical Society. Author of numerous highly-cited papers on quantum physics and computation. Steering Board of Quantum Journal. Partner of Entanglement Partners. Ex-President of GEIC in the RSEF.
Enrique Lizaso Olmos
Founder and CEO of Multiverse Computing, the largest Quantum Company in EU and one of the 100 most promising companies in AI in the world in 2023 (CB Insights). Current Treasurer, Member of the Leadership Team & Member of the Governing Board at the European Quantum Industry Consortium - QuIC. Co-lead of SMEs & Funding Workgroup of QuIC. Bachelor in Mathematics (University of Barcelona), Computer Engineer (UNED), M.D (University of Navarra), PhD (University of Barcelona), MBA (IESE). Former Deputy CEO of Unnim Bank -more than 20 years in finance & banking. Former University Professor in Engineering and Mechatronic (Statistics), Finance & Marketing (Universitat Autónoma de Barcelona). Previous experience in Startups: BlockTac (blockchain), OmnixHealth (international health insurance) and others Member of the Quantum World Association – QWA (not for profit). VP & Treasurer at Barcelona Flight School, where I fly (PPL).
Founder and CEO of Multiverse Computing, the largest Quantum Company in EU and one of the 100 most promising companies in AI in the world in 2023 (CB Insights). Current Treasurer, Member of the Leadership Team & Member of the Governing Board at the European Quantum Industry Consortium - QuIC. Co-lead of SMEs & Funding Workgroup of QuIC. Bachelor in Mathematics (University of Barcelona), Computer Engineer (UNED), M.D (University of Navarra), PhD (University of Barcelona), MBA (IESE). Former Deputy CEO of Unnim Bank -more than 20 years in finance & banking. Former University Professor in Engineering and Mechatronic (Statistics), Finance & Marketing (Universitat Autónoma de Barcelona). Previous experience in Startups: BlockTac (blockchain), OmnixHealth (international health insurance) and others Member of the Quantum World Association – QWA (not for profit). VP & Treasurer at Barcelona Flight School, where I fly (PPL).
Alfonso Rubio
ADE by ESADE. Co-Founder and CMO of Multiverse Computing. President, “barcelonaqbit-bqb”, 20,000 “qualified” quantum contacts on LinkedIn. VP of the AMETIC Innovation Commission and General Coordinator of its quantum technologies group. Councilor of the “Consell quantic de Catalunya”. Advisor of the Quantum Technologies Group of the Spanish Association for Standardization UNE. Advisor to the ASEBIO Disruptive/Quantum Technologies Think Tank. Commissioner of quantum technologies of the Official College of Computer Engineering of Catalonia – COEINF. Patron of the Quo Artis Foundation and President of the “Quantum Art Lab”. UNESCO ambassador for biosphere reserves on the island of La Palma.
ADE by ESADE. Co-Founder and CMO of Multiverse Computing. President, “barcelonaqbit-bqb”, 20,000 “qualified” quantum contacts on LinkedIn. VP of the AMETIC Innovation Commission and General Coordinator of its quantum technologies group. Councilor of the “Consell quantic de Catalunya”. Advisor of the Quantum Technologies Group of the Spanish Association for Standardization UNE. Advisor to the ASEBIO Disruptive/Quantum Technologies Think Tank. Commissioner of quantum technologies of the Official College of Computer Engineering of Catalonia – COEINF. Patron of the Quo Artis Foundation and President of the “Quantum Art Lab”. UNESCO ambassador for biosphere reserves on the island of La Palma.
Business
Miriam Garcia
Bachelor’s degree in Finance and Accounting and a Master's in Business Administration (MBA). Complemented with a diploma in Business Sales and a certificate in Marketing. Previous expereience as a Junior Auditor, in Madrid. Before working overseas for the Spanish Chamber of Commerce in the Philippines and as a Junior broker assistant for an Australian consulting company focused on home lending and commercial finance.
Bachelor’s degree in Finance and Accounting and a Master's in Business Administration (MBA). Complemented with a diploma in Business Sales and a certificate in Marketing. Previous expereience as a Junior Auditor, in Madrid. Before working overseas for the Spanish Chamber of Commerce in the Philippines and as a Junior broker assistant for an Australian consulting company focused on home lending and commercial finance.
Michel Kurek
Engineer in Computer Science, and Applied Mathematics (ENSIMAG, France). MSc in financial techniques, ESSEC (France) Business School. EMBA, Ecole Polytechnique (France).25+ years’ experience in quantitative finance / algo trading working in the largest French banks. Founder of AIfiscience (IP/Business consulting services). Founder/VP of the Feynman Foundation (Quantum for humanity). Active facilitator of the quantum technologies ecosystem (“Le lab Quantique”, Paris-based think tank, QuantX, alumni group of Ecole Polytechnique).
Engineer in Computer Science, and Applied Mathematics (ENSIMAG, France). MSc in financial techniques, ESSEC (France) Business School. EMBA, Ecole Polytechnique (France).25+ years’ experience in quantitative finance / algo trading working in the largest French banks. Founder of AIfiscience (IP/Business consulting services). Founder/VP of the Feynman Foundation (Quantum for humanity). Active facilitator of the quantum technologies ecosystem (“Le lab Quantique”, Paris-based think tank, QuantX, alumni group of Ecole Polytechnique).
Daniella Moreano
Business Administration and Management graduate (University of the Basque Country) with a major in finance. She has completed courses focused on gender equality and ethical finance.
Business Administration and Management graduate (University of the Basque Country) with a major in finance. She has completed courses focused on gender equality and ethical finance.
Marta García
BSc in Business Administration, Mondragón University. Ten years experience in Corporate Finance working for top tier banks in the City of London (RBS, HSBC, Deutsche Bank, BBVA). Broad syndicated, agency loans and CDO management expertise. Operation Controller at Client Services and Markets for the BBVA New York office, based in Madrid. 3 years experience in Retail Banking at BBVA, San Sebastian.
BSc in Business Administration, Mondragón University. Ten years experience in Corporate Finance working for top tier banks in the City of London (RBS, HSBC, Deutsche Bank, BBVA). Broad syndicated, agency loans and CDO management expertise. Operation Controller at Client Services and Markets for the BBVA New York office, based in Madrid. 3 years experience in Retail Banking at BBVA, San Sebastian.
Amaia Garmendia
BSc in Business Administration and Management, major in Finance, at University of Deusto. Over 13 years experience working at Bloomberg, looking after the Top Tier I and II banks in the city of London. Areas of speciality: Fixed Income and Fixed Income Derivatives. Former financial risk management consultant for SMEs in Donostia.
BSc in Business Administration and Management, major in Finance, at University of Deusto. Over 13 years experience working at Bloomberg, looking after the Top Tier I and II banks in the city of London. Areas of speciality: Fixed Income and Fixed Income Derivatives. Former financial risk management consultant for SMEs in Donostia.
Ruth Fociños
The Master’s Degree in Project Management and Business Innovation. International working experience in China and Peru for two years and more than 3 years experience in technology transfer to companies through specialised R&D projects.
The Master’s Degree in Project Management and Business Innovation. International working experience in China and Peru for two years and more than 3 years experience in technology transfer to companies through specialised R&D projects.
Sara Munilla
Bsc Business Management at University of Deusto and masters in Finance at ICADE. +10 years of experience in finance, auditing and controlling. I started my career at PwC and continued in listed companies such as Laureate Universities and Viscofan. I have been based in Madrid and Chicago, having a large experience working in international and fast changing environments.
Bsc Business Management at University of Deusto and masters in Finance at ICADE. +10 years of experience in finance, auditing and controlling. I started my career at PwC and continued in listed companies such as Laureate Universities and Viscofan. I have been based in Madrid and Chicago, having a large experience working in international and fast changing environments.
Praveen Kumar
MSc in Software Engineering and MBA from Cardiff Metropolitan University. Highly experienced in talent acquisition and HR projects for various Fortune 500 companies as well as medium size and startups, specialized in different geographies like the US, UK, EU, Singapore and India. Focused on organization culture, diversity hiring, candidate experience, employer branding, technical pipeline and analytics.
MSc in Software Engineering and MBA from Cardiff Metropolitan University. Highly experienced in talent acquisition and HR projects for various Fortune 500 companies as well as medium size and startups, specialized in different geographies like the US, UK, EU, Singapore and India. Focused on organization culture, diversity hiring, candidate experience, employer branding, technical pipeline and analytics.
Telmo Esnaola
Computer Science graduate in the University of the Basque Country (UPV/EHU), specialised in Software Engineering. Experience in web systems and Javascript.
Computer Science graduate in the University of the Basque Country (UPV/EHU), specialised in Software Engineering. Experience in web systems and Javascript.
Karina Robinson
Karina Robinson is a champion of the City of London, whose career straddles Deep Tech, finance and academia. She is an Emeritus Governor of the London School of Economics and Co-Founder of The Inclusion Initiative, an LSE institute dedicated to promoting D&I in corporates. She is the CEO of Redcliffe Advisory, which advises CEOs and Chairs, and sits as an Independent Director on the board of Anglo-Swiss asset manager Atlanticomnium. She is Founder of The City Quantum Summit, now in its fourth year. It takes place annually at the Mansion House, in the heart of the City of London. Karina is a past Master of the Worshipful Company of International Bankers and CEO of Robinson Hambro. The first two decades of her career were spent as a global financial and political journalist at Bloomberg and The Banker.
Karina Robinson is a champion of the City of London, whose career straddles Deep Tech, finance and academia. She is an Emeritus Governor of the London School of Economics and Co-Founder of The Inclusion Initiative, an LSE institute dedicated to promoting D&I in corporates. She is the CEO of Redcliffe Advisory, which advises CEOs and Chairs, and sits as an Independent Director on the board of Anglo-Swiss asset manager Atlanticomnium. She is Founder of The City Quantum Summit, now in its fourth year. It takes place annually at the Mansion House, in the heart of the City of London. Karina is a past Master of the Worshipful Company of International Bankers and CEO of Robinson Hambro. The first two decades of her career were spent as a global financial and political journalist at Bloomberg and The Banker.
Victor Gaspar
Computer scientist from UAB with a focus on high performance computing and distributed systems. Postgraduate in quantum engineering from UPC. Master in project management from LaSalle-BES. 10+ years of experience managing innovative and international IT projects. 7+ years in business development leading the sales of a corporate business unit. Member of the EuroQuIC and the working group of quantum technologies at AMETIC.
Computer scientist from UAB with a focus on high performance computing and distributed systems. Postgraduate in quantum engineering from UPC. Master in project management from LaSalle-BES. 10+ years of experience managing innovative and international IT projects. 7+ years in business development leading the sales of a corporate business unit. Member of the EuroQuIC and the working group of quantum technologies at AMETIC.
Gianni Del Bimbo
Quantum physicist. MSc in Condensed Matter Physics from the Ludwig Maximilian University (LMU) of Munich. BSc in Physics and Astrophysics from the University of Florence. At Multiverse, I started as quantum machine learning specialist and later worked as head of quantum engineering managing teams and leading client projects in finance, energy, manufacturing and chemistry. As COO, I’m now responsible for designing, implementing and overseeing day-to-day operations to drive the company’s strategy. I’m also responsible for designing and building the company’s ESG plan.
Quantum physicist. MSc in Condensed Matter Physics from the Ludwig Maximilian University (LMU) of Munich. BSc in Physics and Astrophysics from the University of Florence. At Multiverse, I started as quantum machine learning specialist and later worked as head of quantum engineering managing teams and leading client projects in finance, energy, manufacturing and chemistry. As COO, I’m now responsible for designing, implementing and overseeing day-to-day operations to drive the company’s strategy. I’m also responsible for designing and building the company’s ESG plan.
Iraia Ibarzabal
Chemical Engineer and Master in Professional Development, with more than 7 years experience in R&D project management, including applying for and management of grants and tax incentives for innovation activities.
Chemical Engineer and Master in Professional Development, with more than 7 years experience in R&D project management, including applying for and management of grants and tax incentives for innovation activities.
Razvan Macec
Background in Psychology and dual master’s degrees in Organizational Psychology and Strategic Talent Management. Currently focused on talent acquisition, onboarding, and personal development. Passionate about crafting meaningful employee experiences that foster engagement and growth. Known for a hands-on, people-first approach, excelling at building supportive, dynamic environments where teams can thrive.
Background in Psychology and dual master’s degrees in Organizational Psychology and Strategic Talent Management. Currently focused on talent acquisition, onboarding, and personal development. Passionate about crafting meaningful employee experiences that foster engagement and growth. Known for a hands-on, people-first approach, excelling at building supportive, dynamic environments where teams can thrive.
Mauricio Rodriguez
MSc in cybersecurity from the University of Deusto. Has worked in different defensive security roles during his career in a variety of industries and organisations (private and public).
MSc in cybersecurity from the University of Deusto. Has worked in different defensive security roles during his career in a variety of industries and organisations (private and public).
Belinda Barrera
Bachelor’s degree in Psychology and currently enrolled in an MBA + Master in HR Management. Over 9 years of experience in Human Resources with a focus on training, recruitment and process improvement. With a wide experience working for LATAM countries and multinational companies. Always focused on supporting others.
Bachelor’s degree in Psychology and currently enrolled in an MBA + Master in HR Management. Over 9 years of experience in Human Resources with a focus on training, recruitment and process improvement. With a wide experience working for LATAM countries and multinational companies. Always focused on supporting others.
Ane Amenabar
Psychology degree from the University of the Basque Country with a specialisation in Human Resources and Organisational Development. Comprehensive 360 human resources and talent acquisition specialist, adept at optimising workforce potential and driving organisational success.
Psychology degree from the University of the Basque Country with a specialisation in Human Resources and Organisational Development. Comprehensive 360 human resources and talent acquisition specialist, adept at optimising workforce potential and driving organisational success.
Joan Puiggros
Telecommunications engineer with Master’s degree in Electronics with more than 7 years of experience in customer-oriented roles. I joined Multiverse Computing as Key Account Manager under the Growth team.
Telecommunications engineer with Master’s degree in Electronics with more than 7 years of experience in customer-oriented roles. I joined Multiverse Computing as Key Account Manager under the Growth team.
Raquel Pelegrin
Political science graduate and all rounder Operations & Program Manager with over 7 years of experience in on demand logistics and operations in the grocery delivery sector. I joined Multiverse Computing as Operations Manager to help scale business operations.
Political science graduate and all rounder Operations & Program Manager with over 7 years of experience in on demand logistics and operations in the grocery delivery sector. I joined Multiverse Computing as Operations Manager to help scale business operations.
Ainhoa Mayor
Bachelor's degree in Management Assistance (ISSA) at the University of Navarra, specializing in leadership and team management. Master's degree in strategic process management and decision making at the University of La Rioja (UNIR). Complemented with courses in Human Resources management and Community manager. Experience in recruitment and internal & external communication.
Bachelor's degree in Management Assistance (ISSA) at the University of Navarra, specializing in leadership and team management. Master's degree in strategic process management and decision making at the University of La Rioja (UNIR). Complemented with courses in Human Resources management and Community manager. Experience in recruitment and internal & external communication.
Benjamin Cox
Business Development professional with an MSc in Enterprise & Entrepreneurship, and a BA in Business Management from Leeds University Business School. Experienced across various industry verticals, with previous roles in AI/Machine Learning, Blockchain Technology and Financial Services in London.
Business Development professional with an MSc in Enterprise & Entrepreneurship, and a BA in Business Management from Leeds University Business School. Experienced across various industry verticals, with previous roles in AI/Machine Learning, Blockchain Technology and Financial Services in London.
Maria Elena Cheng
A Bachelor’s degree in Development Studies from the University of California, Berkeley and multicultural experience both working and living in the USA, UK, Brazil and Spain (Madrid and San Sebastian). Over the years, I´ve worked in international business development in the media and entertainment production industry, manufacture, industrial recycling and most recently, seeking grants and funding opportunities for scientific research. At Multiverse Computing, I’m joining the Growth team to help identify and draft proposals for EU and other funding call opportunities to leverage the company’s quantum-as-a-service and LLM expertise accross a range of verticals.
A Bachelor’s degree in Development Studies from the University of California, Berkeley and multicultural experience both working and living in the USA, UK, Brazil and Spain (Madrid and San Sebastian). Over the years, I´ve worked in international business development in the media and entertainment production industry, manufacture, industrial recycling and most recently, seeking grants and funding opportunities for scientific research. At Multiverse Computing, I’m joining the Growth team to help identify and draft proposals for EU and other funding call opportunities to leverage the company’s quantum-as-a-service and LLM expertise accross a range of verticals.
Sara Arsuaga Arístegui
Management Assistance degree at the University of Navarra, specialized in communication and leadership. International master’s degree in Event Organisation and Protocol at International School of Protocol. Over 5 years experience in events and as an Executive Assistant.
Management Assistance degree at the University of Navarra, specialized in communication and leadership. International master’s degree in Event Organisation and Protocol at International School of Protocol. Over 5 years experience in events and as an Executive Assistant.
Eider Iguerategui
Currently studying Administration and Business Management (University of the Basque Country) and doing my internship in Multiverse Computing. Highly interested in the financial and accounting sections.
Currently studying Administration and Business Management (University of the Basque Country) and doing my internship in Multiverse Computing. Highly interested in the financial and accounting sections.
Clara Bergareche
Leadership, Entrepreneurship and Innovation degree at Mondragon Unibertsitatea, specialized in business development and communication and sales. Complemented with courses in PR and Agile Methodologies. International experience in business development in both private and public sectors.
Leadership, Entrepreneurship and Innovation degree at Mondragon Unibertsitatea, specialized in business development and communication and sales. Complemented with courses in PR and Agile Methodologies. International experience in business development in both private and public sectors.
Leire Herrero
Legal Counsel. Master’s Degree in Law with more than seven years working as an in-house lawyer in different industries focusing on providing support and solving all the legal affairs to achieve the business goals. Large experience working on innovative and regulated environments that require special attention to the fulfillment of legal standards.
Legal Counsel. Master’s Degree in Law with more than seven years working as an in-house lawyer in different industries focusing on providing support and solving all the legal affairs to achieve the business goals. Large experience working on innovative and regulated environments that require special attention to the fulfillment of legal standards.
Rodrigo Hernandez
Expert in merging technical expertise with strategic business development, particularly in AI and quantum computing. He has significantly advanced technological partnerships and growth. His background, with degrees from the University of Oxford and other prestigious institutions, complements his achievements in leading projects, securing strategic alliances, and contributing to scientific research, demonstrating a rare blend of innovation and executive acumen.
Expert in merging technical expertise with strategic business development, particularly in AI and quantum computing. He has significantly advanced technological partnerships and growth. His background, with degrees from the University of Oxford and other prestigious institutions, complements his achievements in leading projects, securing strategic alliances, and contributing to scientific research, demonstrating a rare blend of innovation and executive acumen.
Lavanya Yanamadala
MSc Human Resources and Management (NEOMA Business School, France). 4 years of experience in HR and management. Specializing in Tech Recruitment(EMEA, NORDIC regions), Onboarding and Employer Branding. Focused on Inclusive hiring. Awarded as Global social media influencer for Employer branding in an international firm (2022).
MSc Human Resources and Management (NEOMA Business School, France). 4 years of experience in HR and management. Specializing in Tech Recruitment(EMEA, NORDIC regions), Onboarding and Employer Branding. Focused on Inclusive hiring. Awarded as Global social media influencer for Employer branding in an international firm (2022).
Raksha Suresh
Bachelor's degree in Electrical & Electronics Engineering complemented by an MBA in HR Management. Equipped with professional expertise spanning both the IT and HR (recruitment) domains. Demonstrated proficiency in sourcing top talent for Fortune 500 clients, Shared Services & startups. Specialized in global hiring for IT skills across EU, UK, India, SriLanka, US, Canada, focusing on critical role placements
Bachelor's degree in Electrical & Electronics Engineering complemented by an MBA in HR Management. Equipped with professional expertise spanning both the IT and HR (recruitment) domains. Demonstrated proficiency in sourcing top talent for Fortune 500 clients, Shared Services & startups. Specialized in global hiring for IT skills across EU, UK, India, SriLanka, US, Canada, focusing on critical role placements
Asier Arburua
Bsc in Business Administration + International Management Skills at University of Deusto, and a Master's in Digital Marketing & E-commerce at EAE Business School. With experience managing international marketing projects and developing commercial strategies in the tech sector.
Bsc in Business Administration + International Management Skills at University of Deusto, and a Master's in Digital Marketing & E-commerce at EAE Business School. With experience managing international marketing projects and developing commercial strategies in the tech sector.
Wendy Chin
Master´s Degree in Business Administration from McGill University. Over 20 years experience in developing alliances and partners in the IT sector internationally. She has experience around the globe having worked in Canada, Spain and China.
Master´s Degree in Business Administration from McGill University. Over 20 years experience in developing alliances and partners in the IT sector internationally. She has experience around the globe having worked in Canada, Spain and China.
Hugo Melvin
MA in Economics and History from The University of Edinburgh. Six years experience working as a venture capital investor in London with 24Haymarket. Lead investment executive on multiple deals focusing on deep technologies, including robotics, AI and quantum.
MA in Economics and History from The University of Edinburgh. Six years experience working as a venture capital investor in London with 24Haymarket. Lead investment executive on multiple deals focusing on deep technologies, including robotics, AI and quantum.
Kriti Baweja
Honors in Business Administration, major in Finance. Over 5 years of experience in finance, venture capital, and the tech industry in Toronto.Former investment analyst specializing in startup investments, operations management and scaling.
Honors in Business Administration, major in Finance. Over 5 years of experience in finance, venture capital, and the tech industry in Toronto.Former investment analyst specializing in startup investments, operations management and scaling.
Pablo Lauret
MPhys Mathematical Physics integrated masters degree from the University of Edinburgh, with a masters thesis in phenomenological particle physics. Previously worked at the Irish Centre for High-End Computing, working in the quantum computing research team, as well as serving as a high-performance computing (HPC) user support specialist. Research work in quantum natural language processing (QNLP), developing hybrid quantum-classical machine learning models for text classification tasks.
MPhys Mathematical Physics integrated masters degree from the University of Edinburgh, with a masters thesis in phenomenological particle physics. Previously worked at the Irish Centre for High-End Computing, working in the quantum computing research team, as well as serving as a high-performance computing (HPC) user support specialist. Research work in quantum natural language processing (QNLP), developing hybrid quantum-classical machine learning models for text classification tasks.
Karim Djerboa
Master’s in Business Administration from Southeast Missouri State University, USA, a Master of Sciences in International Business Engineering and a Bachelor of Sciences in Information Technologies from Université des Sciences in Montpellier, France, he brings over 20 years of leadership experience across the software, medical technologies, telecommunications, and IT industries. His expertise covers Strategic Growth & Market Expansion, Business Development & Partnerships, Client Engagement & Customer Experience, and Sales Strategy & Competitive Positioning. His international career, spanning the USA, LATAM, and MENA regions, reflects a consistent track record of driving growth and innovation across diverse markets.
Master’s in Business Administration from Southeast Missouri State University, USA, a Master of Sciences in International Business Engineering and a Bachelor of Sciences in Information Technologies from Université des Sciences in Montpellier, France, he brings over 20 years of leadership experience across the software, medical technologies, telecommunications, and IT industries. His expertise covers Strategic Growth & Market Expansion, Business Development & Partnerships, Client Engagement & Customer Experience, and Sales Strategy & Competitive Positioning. His international career, spanning the USA, LATAM, and MENA regions, reflects a consistent track record of driving growth and innovation across diverse markets.
Raúl Gonzalez Ramos
M.Sc. integrated degree in Physics from the University of Bristol. Master thesis on quantum thermodynamics, focusing on the Thermodynamic Uncertainty Relation. The main areas of interest are QIT and non-locality implications.
M.Sc. integrated degree in Physics from the University of Bristol. Master thesis on quantum thermodynamics, focusing on the Thermodynamic Uncertainty Relation. The main areas of interest are QIT and non-locality implications.
Chris Zaharias
Accomplished sales executive with over two decades of experience driving growth and building high-performing sales teams at disruptive technology startups. Companies he has led sales teams for include Netscape Communication (IPO), Efficient Frontier (acquired by Adobe), Dapper (acquired by Yahoo!), Omniture (acquired by Adobe) and Triggit (acquired by Gravity4). Chris founded SearchQuant, a solution that generated awareness and inbound leads from LinkedIn for several hundred companies.
Accomplished sales executive with over two decades of experience driving growth and building high-performing sales teams at disruptive technology startups. Companies he has led sales teams for include Netscape Communication (IPO), Efficient Frontier (acquired by Adobe), Dapper (acquired by Yahoo!), Omniture (acquired by Adobe) and Triggit (acquired by Gravity4). Chris founded SearchQuant, a solution that generated awareness and inbound leads from LinkedIn for several hundred companies.
Iñigo Garcia Sagastume
B.Sc. in Business Management at University of Deusto, Finance Major. With 10 years of experience working at Amazon in various Finance and Project Management roles in Bratislava, London and Madrid, leading local and worldwide projects.
B.Sc. in Business Management at University of Deusto, Finance Major. With 10 years of experience working at Amazon in various Finance and Project Management roles in Bratislava, London and Madrid, leading local and worldwide projects.
Hodei Tijero Hernández
Experienced IT professional with a strong background in systems administration. He has years of expertise in programming and a comprehensive understanding of various IT solutions. Passionate about leveraging technology to solve complex problems and enhance operational efficiency.
Experienced IT professional with a strong background in systems administration. He has years of expertise in programming and a comprehensive understanding of various IT solutions. Passionate about leveraging technology to solve complex problems and enhance operational efficiency.
Rudolf Kozsil
Customer-obsessed business development / technical sales professional with a telecommunication engineering background and expertise in Cloud (Azure) and AI technologies. Over 25 years of experience in various roles with multinational tech companies, such as Microsoft, Nokia, and Siemens, and in startup environments around the globe. Proficient in consulting, business development, and solution architectures, with a proven ability to build strong customer relationships.
Customer-obsessed business development / technical sales professional with a telecommunication engineering background and expertise in Cloud (Azure) and AI technologies. Over 25 years of experience in various roles with multinational tech companies, such as Microsoft, Nokia, and Siemens, and in startup environments around the globe. Proficient in consulting, business development, and solution architectures, with a proven ability to build strong customer relationships.
Tech
Oussama Tahiri Alaoui
MSc in Data Science from Polytechnic University of Madrid (UPM) with a thesis about updating Spanish DBpedia using Databus. Engineering degree in Computer Science from UAE (Tangier, Morocco) with a final project in software development. He worked on different data engineering and machine learning projects.
MSc in Data Science from Polytechnic University of Madrid (UPM) with a thesis about updating Spanish DBpedia using Databus. Engineering degree in Computer Science from UAE (Tangier, Morocco) with a final project in software development. He worked on different data engineering and machine learning projects.
Kris Tziritas
MSc in mathematics and statistics from the University of Quebec with an emphasis on exotic options. MSc in quantitative finance from the University of Montreal with a strong focus on machine learning. Over five years of experience successfully implementing state-of-the-art machine learning algorithms in multiple major Canadian banks.
MSc in mathematics and statistics from the University of Quebec with an emphasis on exotic options. MSc in quantitative finance from the University of Montreal with a strong focus on machine learning. Over five years of experience successfully implementing state-of-the-art machine learning algorithms in multiple major Canadian banks.
Yingyi Yin
MSc in Physics from Universidad Complutense de Madrid (UCM) and BSc in Physics from Universidad Autónoma de Madrid (UAM) including a thesis in simulations of single particle systems in different 1D potentials using quantum computing.
MSc in Physics from Universidad Complutense de Madrid (UCM) and BSc in Physics from Universidad Autónoma de Madrid (UAM) including a thesis in simulations of single particle systems in different 1D potentials using quantum computing.
Abel Carreras
PhD in Theoretical Chemistry from Universitat de Barcelona. Specialized in Scientific software development. 10 years of experience as Postdoc researcher at Kyoto University and Donostia International Physics Center.
PhD in Theoretical Chemistry from Universitat de Barcelona. Specialized in Scientific software development. 10 years of experience as Postdoc researcher at Kyoto University and Donostia International Physics Center.
Alessandro Genuardi
Quantum physicist and deep-tech enthusiast. BSc in Physics from the University of Southampton, and MSc in Photonics and Innovation Management from Skoltech - Moscow research institute co-founded by MIT. His research involved experimental-theoretical work across different fields: integrated waveguides as a platform for quantum information processing, exciton-polariton condensates, and self-starting dynamics of ultrafast fiber lasers.
Quantum physicist and deep-tech enthusiast. BSc in Physics from the University of Southampton, and MSc in Photonics and Innovation Management from Skoltech - Moscow research institute co-founded by MIT. His research involved experimental-theoretical work across different fields: integrated waveguides as a platform for quantum information processing, exciton-polariton condensates, and self-starting dynamics of ultrafast fiber lasers.
Llorenç Espinosa
Theoretical physicist. PhD in Theoretical Physics from Universidad Autónoma de Madrid, with a thesis on Quantum Information approaches to Cosmology. MSc in Theoretical and Mathematical Physics from the Ludwig Maximilian University and Technical University of Munich. BSc in Physics from Universitat de València. Experience in research and teaching. Quantum computing enthusiast.
Theoretical physicist. PhD in Theoretical Physics from Universidad Autónoma de Madrid, with a thesis on Quantum Information approaches to Cosmology. MSc in Theoretical and Mathematical Physics from the Ludwig Maximilian University and Technical University of Munich. BSc in Physics from Universitat de València. Experience in research and teaching. Quantum computing enthusiast.
Jon Oillarburu
MSc in Engineering from CentraleSupélec, France. Dual degree with the University of Cambridge: MASt in Applied mathematics.Strong focus on Quantum Computation and Quantum Information theory, worked on the optimization of a surface codearchitecture, as well as on the opportunities of the measurement based quantum computation.
MSc in Engineering from CentraleSupélec, France. Dual degree with the University of Cambridge: MASt in Applied mathematics.Strong focus on Quantum Computation and Quantum Information theory, worked on the optimization of a surface codearchitecture, as well as on the opportunities of the measurement based quantum computation.
Saeed S. Jahromi
Quantum Condensed Matter Physicist, PhD from the K.N.Toosi University of technology/TU Dortmund. Postdoctoral researcher at Sharif University of Technology, EPFL and DIPC. Expert in development of quantum-inspired numerical techniques for strongly correlated quantum many-body systems, topological phases and quantum materials. Tensor Network Specialist.
Quantum Condensed Matter Physicist, PhD from the K.N.Toosi University of technology/TU Dortmund. Postdoctoral researcher at Sharif University of Technology, EPFL and DIPC. Expert in development of quantum-inspired numerical techniques for strongly correlated quantum many-body systems, topological phases and quantum materials. Tensor Network Specialist.
Asier Rodriguez
MSc student in Quantum Science and Technology at EHU with an emphasis on condensed matter physics.Physics and Electronic Engineering BSc double graduate from the University of the Basque Country (EHU), including a thesis on machine learning. Summer intern at DIPC.
MSc student in Quantum Science and Technology at EHU with an emphasis on condensed matter physics.Physics and Electronic Engineering BSc double graduate from the University of the Basque Country (EHU), including a thesis on machine learning. Summer intern at DIPC.
Milad Keramati
BSc in Software Engineering from University of Science and Technology of Mazandaran. Experienced in web development, AI, system administration, and optimization.
BSc in Software Engineering from University of Science and Technology of Mazandaran. Experienced in web development, AI, system administration, and optimization.
Usman Ayub Sheikh
Electrical Engineer with specialisation in Robotics and Artificial Intelligence. PhD from the University of Basque Country (UPV/EHU). Former researcher in Cognitive Neuroscience at Basque Center on cognition, Brain and Language (BCBL).
Electrical Engineer with specialisation in Robotics and Artificial Intelligence. PhD from the University of Basque Country (UPV/EHU). Former researcher in Cognitive Neuroscience at Basque Center on cognition, Brain and Language (BCBL).
Faysal Ishtiaq Rabby
Self taught programmer graduated in Electronics and Communication Engineering. Worked for multiple software development companies and startups. Experienced in cloud computing, developing analytics and distributed systems.
Self taught programmer graduated in Electronics and Communication Engineering. Worked for multiple software development companies and startups. Experienced in cloud computing, developing analytics and distributed systems.
Doğancan Gemici
Strategic and result-driven project manager and analyst with 3+ years of broad-based experience in business operations, account management, client relations, and end-to-end project management. Well-versed in machine learning techniques, always eager to learn more.
Strategic and result-driven project manager and analyst with 3+ years of broad-based experience in business operations, account management, client relations, and end-to-end project management. Well-versed in machine learning techniques, always eager to learn more.
Borja Aizpurua
MSc in Telecommunications Engineering from Tecnun / Universidad de Navarra (Donostia). BSc in Systems of Telecommunication from Tecnun, including a thesis on coding and quantum error correction.
MSc in Telecommunications Engineering from Tecnun / Universidad de Navarra (Donostia). BSc in Systems of Telecommunication from Tecnun, including a thesis on coding and quantum error correction.
Adrian Salinero Lobo
BSc in Industrial Engineering from University of the Basque Country (UPV/EHU). MSc in Computer Engineering from RWTH Aachen University with an emphasis on Machine Learning. Previous experience as Data Analyst and Data Engineer.
BSc in Industrial Engineering from University of the Basque Country (UPV/EHU). MSc in Computer Engineering from RWTH Aachen University with an emphasis on Machine Learning. Previous experience as Data Analyst and Data Engineer.
Pablo Martin
PhD in Physics at U.A.M. (Madrid, Spain). Research focused on using machine learning techniques to study fundamental particle physics. Also, research affiliate at Berkeley Lab, working on unsupervised methods for anomaly detection. MSc in Physics at Durham University and BSc in Physics at Universidad Complutense de Madrid.
PhD in Physics at U.A.M. (Madrid, Spain). Research focused on using machine learning techniques to study fundamental particle physics. Also, research affiliate at Berkeley Lab, working on unsupervised methods for anomaly detection. MSc in Physics at Durham University and BSc in Physics at Universidad Complutense de Madrid.
Diego Watanabe
MSc in Artificial Intelligence at Maastricht University in The Netherlands. Worked as a web developer in various industries. Experienced in Machine Learning and Natural Language Processing with Neural Machine Translations.
MSc in Artificial Intelligence at Maastricht University in The Netherlands. Worked as a web developer in various industries. Experienced in Machine Learning and Natural Language Processing with Neural Machine Translations.
Samuel Palmer
BSc in Chemistry, University of Bristol; MSc in Computer Science, University College London; MRes in Computational Finance, London Business School; PhD in Computational Finance, University College London. He has worked in XHE Capital and Brainpool AI, developing Computational financial applications by using AI. He has also experience in FPGA-based solutions.
BSc in Chemistry, University of Bristol; MSc in Computer Science, University College London; MRes in Computational Finance, London Business School; PhD in Computational Finance, University College London. He has worked in XHE Capital and Brainpool AI, developing Computational financial applications by using AI. He has also experience in FPGA-based solutions.
Luc Andrea
PhD in condensed matter physics, Université Pierre et Marie Curie, (Paris, France). Post-doctoral researcher at French Atomic Energy Commission. Data scientist in a consulting firm for 4 years. Special affinity for the energy sector, with a particular focus on bringing quantum into industry applications and bridging deep tech with business.
PhD in condensed matter physics, Université Pierre et Marie Curie, (Paris, France). Post-doctoral researcher at French Atomic Energy Commission. Data scientist in a consulting firm for 4 years. Special affinity for the energy sector, with a particular focus on bringing quantum into industry applications and bridging deep tech with business.
Bakbergen Ryskulov
MSc in Quantitative Economics from Universitat Autònoma de Barcelona. Previously worked in the financial and telecommunication industries as an ML Engineer. Experienced in developing ML products from scratch and deploying them to production.
MSc in Quantitative Economics from Universitat Autònoma de Barcelona. Previously worked in the financial and telecommunication industries as an ML Engineer. Experienced in developing ML products from scratch and deploying them to production.
John Malcolm
PhD in Quantum Condensed Matter Physics and BSc in Chemical Physics from the University of Guelph, MASt in Applied Mathematics from the University of Cambridge. Worked as a quantitative analyst at the Ontario Teachers' Pension Plan assessing model risk in various derivative valuation and risk management models.
PhD in Quantum Condensed Matter Physics and BSc in Chemical Physics from the University of Guelph, MASt in Applied Mathematics from the University of Cambridge. Worked as a quantitative analyst at the Ontario Teachers' Pension Plan assessing model risk in various derivative valuation and risk management models.
Aser Cortines
MSc in Applied Mathematics at École Polytechnique France; PhD in Applied Mathematics at University of Paris Diderot - Paris 7. Postdoctoral researcher at Technion and the University of Zurich. He has worked as a quantitative analyst for an electricity and gas supplier developing models and libraries used by front office operating on energy markets. He has also experience with model risk assessment of banking models.
MSc in Applied Mathematics at École Polytechnique France; PhD in Applied Mathematics at University of Paris Diderot - Paris 7. Postdoctoral researcher at Technion and the University of Zurich. He has worked as a quantitative analyst for an electricity and gas supplier developing models and libraries used by front office operating on energy markets. He has also experience with model risk assessment of banking models.
Wael Rabah
MSc in Software Engineering. Graduated in 2022 from the National Institute of Applied Sciences and Technology in Tunisia. Has experience in Machine Learning, Data Engineering, and Web Development. Conducted several internships in Machine Learning and Software Engineering, and has accumulated over 3 years of freelance experience in Software Engineering.
MSc in Software Engineering. Graduated in 2022 from the National Institute of Applied Sciences and Technology in Tunisia. Has experience in Machine Learning, Data Engineering, and Web Development. Conducted several internships in Machine Learning and Software Engineering, and has accumulated over 3 years of freelance experience in Software Engineering.
Alba Villarino
Quantum physicist. BSc in Physics at the University of Salamanca and MSc in Quantum Science and Technologies from the University of the Basque Country, specialised in quantum information. Worked as a researcher in the University of the Basque Country, in the field of Data Science and Natural language processing (NLP).
Quantum physicist. BSc in Physics at the University of Salamanca and MSc in Quantum Science and Technologies from the University of the Basque Country, specialised in quantum information. Worked as a researcher in the University of the Basque Country, in the field of Data Science and Natural language processing (NLP).
Prabdeep Bajaj
DevOps and cloud computing enthusiasts with bachelor degree in the field of computer science with more than 4 years of experience of helping organizations cross the world to build their scalable cloud infrastructures along with comprehensive cloud security and in depth application monitoring using some modern DevOps tools like Kubernetes, Service mesh , IAC.
DevOps and cloud computing enthusiasts with bachelor degree in the field of computer science with more than 4 years of experience of helping organizations cross the world to build their scalable cloud infrastructures along with comprehensive cloud security and in depth application monitoring using some modern DevOps tools like Kubernetes, Service mesh , IAC.
Sajanthan Sekaran
PhD in Quantum Chemistry (Strasbourg, France). Developing new embedding methods to treat both quantum chemistry and condensed matter physics problems. Bsc in Economics (Mulhouse, France and Montréal, Canada), Bsc in Physics and Chemistry (Strasbourg, France), MSc in Chemoinformatics (Strasbourg, France).
PhD in Quantum Chemistry (Strasbourg, France). Developing new embedding methods to treat both quantum chemistry and condensed matter physics problems. Bsc in Economics (Mulhouse, France and Montréal, Canada), Bsc in Physics and Chemistry (Strasbourg, France), MSc in Chemoinformatics (Strasbourg, France).
Ander Gil
Bachelor's Degree in Computer Engineering at University of the Basque Country and MSc student in Computational Engineering and Intelligent Systems. Currently writing a thesis on construction of Potential Energy Surfaces using machine learning.
Bachelor's Degree in Computer Engineering at University of the Basque Country and MSc student in Computational Engineering and Intelligent Systems. Currently writing a thesis on construction of Potential Energy Surfaces using machine learning.
Sukhbinder Singh
Quantum physicist. Expert in tensor networks, quantum many-body physics, and quantum information theory. PhD in quantum physics from University of Queensland (Australia). Held research positions at Monash University (Australia), Albert Einstein Institute (Berlin), Institute for Quantum Optics and Quantum Information (Vienna), and Macquarie University (Australia). Adjunct researcher in the Mathematical Physics group at University of Melbourne. 3+ years as professional Software Engineer.
Quantum physicist. Expert in tensor networks, quantum many-body physics, and quantum information theory. PhD in quantum physics from University of Queensland (Australia). Held research positions at Monash University (Australia), Albert Einstein Institute (Berlin), Institute for Quantum Optics and Quantum Information (Vienna), and Macquarie University (Australia). Adjunct researcher in the Mathematical Physics group at University of Melbourne. 3+ years as professional Software Engineer.
Angus Dunnett
Quantum Physicist with special interest in Tensor Networks. MPhys in Theoretical Physics from the University of St Andrews. PhD in Computational Physics from the Institut des NanoSciences de Paris, working on novel Tensor Network methods and their application to Open Quantum Systems.
Quantum Physicist with special interest in Tensor Networks. MPhys in Theoretical Physics from the University of St Andrews. PhD in Computational Physics from the Institut des NanoSciences de Paris, working on novel Tensor Network methods and their application to Open Quantum Systems.
Mohammad Dib
MASc in Electrical and Computer Engineering from the University of Waterloo, specializing in Pattern Analysis and Machine Intelligence. BSc in Electrical Engineering from the American University of Sharjah with a minor in Computer Engineering.
MASc in Electrical and Computer Engineering from the University of Waterloo, specializing in Pattern Analysis and Machine Intelligence. BSc in Electrical Engineering from the American University of Sharjah with a minor in Computer Engineering.
Fabio Gentile
PhD in Quantum Atom Interferometry at the University of Nottingham, within the UK Quantum Technology Hub. MSc in Complex System Physics at the University of Turin with thesis on Quantum Information at the “Instituto Nazionale di Ricerca Metrologica” (INRiM). Three and a half years of R&D experience at BOSCH, contributing in innovation projects on Microfabricated and Diffractive Optics as well as System Testing of Complex Sensors for Autonomous Driving.
PhD in Quantum Atom Interferometry at the University of Nottingham, within the UK Quantum Technology Hub. MSc in Complex System Physics at the University of Turin with thesis on Quantum Information at the “Instituto Nazionale di Ricerca Metrologica” (INRiM). Three and a half years of R&D experience at BOSCH, contributing in innovation projects on Microfabricated and Diffractive Optics as well as System Testing of Complex Sensors for Autonomous Driving.
Alejandro Moreno
4th year Electronic engineering degree student at University of the Baque Country (UPV/EHU). Experienced in electric cars, telemetry systems designs and PCB process design. Interested in machine learning and superconductors.
4th year Electronic engineering degree student at University of the Baque Country (UPV/EHU). Experienced in electric cars, telemetry systems designs and PCB process design. Interested in machine learning and superconductors.
Muhammad Ibrahim
Bachelor’s Degree in Electrical Engineering from NED University of Engineering & Technology with FYP focused on Machine Learning & IoT Systems; AWS Certified Developer - Associate; QubitByQubit Alumni sponsored by IBM Quantum; Expertise in Full Stack Software Development using Python, Java, Dart & Javascript Frameworks & Cloud Based Platforms.
Bachelor’s Degree in Electrical Engineering from NED University of Engineering & Technology with FYP focused on Machine Learning & IoT Systems; AWS Certified Developer - Associate; QubitByQubit Alumni sponsored by IBM Quantum; Expertise in Full Stack Software Development using Python, Java, Dart & Javascript Frameworks & Cloud Based Platforms.
Alberto Martinez
Mathematician, MSc in Quantum Computing at the University Politécnica de Madrid, specialised in load classical data into a Quantum Computer. BSc in Mathematics at the University of Valladolid, specialised in abstract algebra.
Mathematician, MSc in Quantum Computing at the University Politécnica de Madrid, specialised in load classical data into a Quantum Computer. BSc in Mathematics at the University of Valladolid, specialised in abstract algebra.
Natalia Flechas
Currently finishing a joint master's degree in computer and cognitive science, specialising in natural language processing, from the University of Trento and the University of the Basque Country. Holds a formal linguistics degree from the University of Buenos Aires. Worked as a data scientist in the Government of the city of Buenos Aires, with additional internships in machine learning and NLP.
Currently finishing a joint master's degree in computer and cognitive science, specialising in natural language processing, from the University of Trento and the University of the Basque Country. Holds a formal linguistics degree from the University of Buenos Aires. Worked as a data scientist in the Government of the city of Buenos Aires, with additional internships in machine learning and NLP.
Nektarios Emmanouilidis
Machine Learning Engineer, with a Masters of Engineering Diploma in Electrical and Computer Engineering from the University of Patras (Patras, Greece). Specialised in machine learning, medical imaging and computer vision.
Machine Learning Engineer, with a Masters of Engineering Diploma in Electrical and Computer Engineering from the University of Patras (Patras, Greece). Specialised in machine learning, medical imaging and computer vision.
António Pereira
MSc student in Physics Engineering specialising in Information Physics at Universidade do Minho. BSc in Physics Engineering at Universidade do Minho. Master’s Dissertation at International Iberian Nanotechnology Laboratory’s Quantum and Linear-Optical Computation group.
MSc student in Physics Engineering specialising in Information Physics at Universidade do Minho. BSc in Physics Engineering at Universidade do Minho. Master’s Dissertation at International Iberian Nanotechnology Laboratory’s Quantum and Linear-Optical Computation group.
Ali Elborady
A University of Zurich (UZH) student pursuing an MSc in Data Science and Economics, with a keen interest in researching neuro and behavioral economics. With a background in BSc software engineering, I'm driven to master creating and maintaining machine learning models and orchestrated data pipelines for robust software systems.
A University of Zurich (UZH) student pursuing an MSc in Data Science and Economics, with a keen interest in researching neuro and behavioral economics. With a background in BSc software engineering, I'm driven to master creating and maintaining machine learning models and orchestrated data pipelines for robust software systems.
Marcelo Moreno
BSc in Theoretical Physics from Complutense University of Madrid. Experience with robotics and renewable energy. My experience includes: data analysis, simulations, machine learning and optimisation. Enthusiast pythonista.
BSc in Theoretical Physics from Complutense University of Madrid. Experience with robotics and renewable energy. My experience includes: data analysis, simulations, machine learning and optimisation. Enthusiast pythonista.
Mehrazin Alizadeh
MASc in Electrical and Computer Engineering from York University; BSc in Electrical Engineering with a focus on Telecommunication systems from the University of Tehran; Specialised in Deep Learning, Machine Learning, LLMs, NLP, Optimisation, and Wireless Communication.
MASc in Electrical and Computer Engineering from York University; BSc in Electrical Engineering with a focus on Telecommunication systems from the University of Tehran; Specialised in Deep Learning, Machine Learning, LLMs, NLP, Optimisation, and Wireless Communication.
Siddhartha Patra
Physicist interested in understanding strongly correlated many-body systems, and their application in solving real-world problems. Developing efficient quantum-inspired algorithms to simulate many-body systems. Postdoc at DIPC. PhD from IISER Kolkata.
Physicist interested in understanding strongly correlated many-body systems, and their application in solving real-world problems. Developing efficient quantum-inspired algorithms to simulate many-body systems. Postdoc at DIPC. PhD from IISER Kolkata.
David Montero
PhD in Computer Science, about design and optimization of Deep Neural Networks. Over 6 years of experience working as a researcher in the field of Computer Vision and Natural Language Processing, specialized in Deep Learning, with collaborations in multiple scientific publications and patents.
PhD in Computer Science, about design and optimization of Deep Neural Networks. Over 6 years of experience working as a researcher in the field of Computer Vision and Natural Language Processing, specialized in Deep Learning, with collaborations in multiple scientific publications and patents.
Milan John
M.Sc. in Physics from the Indian Institute of Technology - Dhanbad (IIT ISM Dhanbad). Research Interests include Quantum Inspired Algorithms, Quantum Machine Learning, Deep Learning, and Reinforcement Learning. Keen interest in learning new things and staying updated about recent tech.
M.Sc. in Physics from the Indian Institute of Technology - Dhanbad (IIT ISM Dhanbad). Research Interests include Quantum Inspired Algorithms, Quantum Machine Learning, Deep Learning, and Reinforcement Learning. Keen interest in learning new things and staying updated about recent tech.
Boaz Micah
Master's degree in Physics from the University of Edinburgh, with a thesis on the structural properties of van der Waals ferromagnets. He has worked on various machine learning projects and possesses a strong background in quantum physics. He is currently in the process of learning to transition to a career as a Quantum Software Engineer.
Master's degree in Physics from the University of Edinburgh, with a thesis on the structural properties of van der Waals ferromagnets. He has worked on various machine learning projects and possesses a strong background in quantum physics. He is currently in the process of learning to transition to a career as a Quantum Software Engineer.
Jaime Vallejo
MSc in Quantum Computing Technologies and BSc in Mathematics and Computer Science from the Polytechnic University of Madrid (UPM). I interned as a Research Assistant in the PDC center in the EECS, at the KTH Royal Institute of Technology. Then, I worked as a full-time software developer in the SNGULAR AI team.
MSc in Quantum Computing Technologies and BSc in Mathematics and Computer Science from the Polytechnic University of Madrid (UPM). I interned as a Research Assistant in the PDC center in the EECS, at the KTH Royal Institute of Technology. Then, I worked as a full-time software developer in the SNGULAR AI team.
Carolina Allende
Engineer in Electronics with an MSc in Computer Science. Experience as a machine learning engineer and data scientist, and former researcher in Quantum Computing at Universidad ORT Uruguay
Engineer in Electronics with an MSc in Computer Science. Experience as a machine learning engineer and data scientist, and former researcher in Quantum Computing at Universidad ORT Uruguay
Juan Di Mauro
PhD in Computer Science from University of Buenos Aires and MSc in Mathematics from the National University of Salta (Argentina). Post-doctoral researcher at University of Lorraine. Specialised in applied cryptography and cryptographic protocols implementations. Enthusiast about academic-industry synergies.
PhD in Computer Science from University of Buenos Aires and MSc in Mathematics from the National University of Salta (Argentina). Post-doctoral researcher at University of Lorraine. Specialised in applied cryptography and cryptographic protocols implementations. Enthusiast about academic-industry synergies.
Daniel De Rosso
Bachelor's degree in Computer Science and Master student in Data Science. Developed several ML projects, some of which in the areas of NLP, computer vision, and anomaly detection. Previously worked as a Data Engineer within the data analytics team of RedBull in the Global Head Quarters in Austria.
Bachelor's degree in Computer Science and Master student in Data Science. Developed several ML projects, some of which in the areas of NLP, computer vision, and anomaly detection. Previously worked as a Data Engineer within the data analytics team of RedBull in the Global Head Quarters in Austria.
Margarita Torres Duran
Data Scientist, skilled in advanced data analytics, leading cross-functional teams, and managing the entire life cycle of data products and machine learning solutions. Data analysis mentor and course creator. Tenure in various data roles at Microsoft and Intel Corporation. BSc and MSc in Computer Science from UNA and TEC universities of Costa Rica.
Data Scientist, skilled in advanced data analytics, leading cross-functional teams, and managing the entire life cycle of data products and machine learning solutions. Data analysis mentor and course creator. Tenure in various data roles at Microsoft and Intel Corporation. BSc and MSc in Computer Science from UNA and TEC universities of Costa Rica.
Beatrix Szathmari
MBA at Corvinus University of Budapest. Over 9 years of experience managing complex technical projects and multicultural engineering teams focused on disruptive technologies.
MBA at Corvinus University of Budapest. Over 9 years of experience managing complex technical projects and multicultural engineering teams focused on disruptive technologies.
Yassine Chamkhi
MSc in Computer Networks and Telecommunications Engineering from the National Institute of Applied Sciences and Technology (INSAT), Tunisia. Graduated in 2023 with multiple internships and freelance work as a DevOps engineer, Web developer and Mobile developer. Interested in optimising Software Development Life Cycle process to ensure rapid deployments and reliable environments.
MSc in Computer Networks and Telecommunications Engineering from the National Institute of Applied Sciences and Technology (INSAT), Tunisia. Graduated in 2023 with multiple internships and freelance work as a DevOps engineer, Web developer and Mobile developer. Interested in optimising Software Development Life Cycle process to ensure rapid deployments and reliable environments.
Gonzalo Otegui
Mechanical Engineering and Industrial Technologies Engineering BSc from Tecnun University (UNAV) and Motorsport Engineering MSc from Oxford Brookes University (OBU). 7 years experience working for Jaguar - Land Rover using modelling and simulation techniques to optimise driving dynamics characteristics of vehicles; and McLaren Applied, developing driving simulators, micro-mobility products and analytics-based decarbonisation solutions for the mining industry.
Mechanical Engineering and Industrial Technologies Engineering BSc from Tecnun University (UNAV) and Motorsport Engineering MSc from Oxford Brookes University (OBU). 7 years experience working for Jaguar - Land Rover using modelling and simulation techniques to optimise driving dynamics characteristics of vehicles; and McLaren Applied, developing driving simulators, micro-mobility products and analytics-based decarbonisation solutions for the mining industry.
Uygar Kurt
I have been working professionally on AI, with emphasize on NLP since 2019. I got my BCS from Sabancı University. Previously, I worked at Akbank, TheNewAI, and Huawei R&D Center. I love teaching about AI. I have given many lectures and workshops on applications of AI in various sectors, such as law, energy, and finance.
I have been working professionally on AI, with emphasize on NLP since 2019. I got my BCS from Sabancı University. Previously, I worked at Akbank, TheNewAI, and Huawei R&D Center. I love teaching about AI. I have given many lectures and workshops on applications of AI in various sectors, such as law, energy, and finance.
Cheshta Joshi
MSc in Quantum Science from Trinity College Dublin and Bachelors in Physics. Interested in designing hardware agnostic quantum algorithms for NISQ devices. Curious to find quantum use-cases in solving industrial and practical problems. Experienced in working on projects based on Variational Quantum Algorithms and other quantum machine learning models.
MSc in Quantum Science from Trinity College Dublin and Bachelors in Physics. Interested in designing hardware agnostic quantum algorithms for NISQ devices. Curious to find quantum use-cases in solving industrial and practical problems. Experienced in working on projects based on Variational Quantum Algorithms and other quantum machine learning models.
Rounak Saraf
B.Tech in Electronics and Communications Engineering from IIIT, Delhi. With a diverse skill set, he has adeptly navigated various roles within the software engineering realm, including Fullstack development, DevOps, Data Engineering, and Generative AI. Considers himself being tech agnostic and is quick to adapt to technologies. Previous work experience includes public sector bank of Singapore, working in crypto Fintech and dealing with large scale data operations.
B.Tech in Electronics and Communications Engineering from IIIT, Delhi. With a diverse skill set, he has adeptly navigated various roles within the software engineering realm, including Fullstack development, DevOps, Data Engineering, and Generative AI. Considers himself being tech agnostic and is quick to adapt to technologies. Previous work experience includes public sector bank of Singapore, working in crypto Fintech and dealing with large scale data operations.
Amal Missaoui
MSc in Software Engineering and minored in DevOps and Cloud.Graduated in 2023 from The National Institue of Applied Science and Technology.I had a diverse experience from Web and mobile development to DevOps.
MSc in Software Engineering and minored in DevOps and Cloud.Graduated in 2023 from The National Institue of Applied Science and Technology.I had a diverse experience from Web and mobile development to DevOps.
Mikel Irastorza
MSc in Industrial Engineering from Tecnun - University of Navarra. Experience in cloud platform design and implementation, predictive maintenance using AI models and big data ETL implementation over more than 7 years in different sectors like transportation and green energy.
MSc in Industrial Engineering from Tecnun - University of Navarra. Experience in cloud platform design and implementation, predictive maintenance using AI models and big data ETL implementation over more than 7 years in different sectors like transportation and green energy.
Auriane Cadorin
Mathematical Engineer from INSA Rouen (France), I discovered Operations Research there and decided to go to the Technical University of Kaiserslautern (now RPTU) to specialize in that captivating field. I worked in academics and in industrial environments.
Mathematical Engineer from INSA Rouen (France), I discovered Operations Research there and decided to go to the Technical University of Kaiserslautern (now RPTU) to specialize in that captivating field. I worked in academics and in industrial environments.
Eren Kocbey
Bachelor's and Master's degree in Electrical and Electronics Engineering, master's thesis on the subject of electrical load demand estimations. Over 8 years of experience in the intellectual property industry; extensive expertise in computer-implemented methods and automotive patents.
Bachelor's and Master's degree in Electrical and Electronics Engineering, master's thesis on the subject of electrical load demand estimations. Over 8 years of experience in the intellectual property industry; extensive expertise in computer-implemented methods and automotive patents.
Alejandro Gil
Mid Software Engineer with BSc in Mathematics and Computer Science. Thesis on deep and convolutional neural networks. Experience as a C++/Python backend developer in the fields of Artificial Intelligence and Finance. Strong use of Data Science tools and keen interest in optimization algorithms.
Mid Software Engineer with BSc in Mathematics and Computer Science. Thesis on deep and convolutional neural networks. Experience as a C++/Python backend developer in the fields of Artificial Intelligence and Finance. Strong use of Data Science tools and keen interest in optimization algorithms.
Antonije Petrović
Soon-to-be MSc in language technologies as part of the LCT program at Charles University in Prague and the University of the Basque Country. With a few years of experience as a backend engineer, and experience with NLP systems, now I am looking forward to working with ML and DL technologies in various use cases.
Soon-to-be MSc in language technologies as part of the LCT program at Charles University in Prague and the University of the Basque Country. With a few years of experience as a backend engineer, and experience with NLP systems, now I am looking forward to working with ML and DL technologies in various use cases.
Muhammad Imran Saeed
Experienced software engineer with a Bachelor Degree in Computer Science from the Virtual University of Pakistan, primarily experienced in full-stack development, DevOps engineering, and cloud computing. Interest in Microservices, Containerization, Orchestration, MLOps, Machine learning, and Data science.
Experienced software engineer with a Bachelor Degree in Computer Science from the Virtual University of Pakistan, primarily experienced in full-stack development, DevOps engineering, and cloud computing. Interest in Microservices, Containerization, Orchestration, MLOps, Machine learning, and Data science.
Tugberk Ozkara
4th year BSc in Computer Engineering student. Experienced as a backend engineer. Interested in backend systems, microservices, cloud and devops.
4th year BSc in Computer Engineering student. Experienced as a backend engineer. Interested in backend systems, microservices, cloud and devops.
Sergi Galve Regolf
Mathematician with an MSc in mathematics from Polytechnic University of Catalonia. I have prior experience as a Quantitative Analyst, working at the intersection of finance, credit risk, and data science. I am interested in blending mathematics and machine learning to solve problems in quantitative finance, with a focus on derivative pricing and risk management.
Mathematician with an MSc in mathematics from Polytechnic University of Catalonia. I have prior experience as a Quantitative Analyst, working at the intersection of finance, credit risk, and data science. I am interested in blending mathematics and machine learning to solve problems in quantitative finance, with a focus on derivative pricing and risk management.
Oliver Wirjadi
Machine learner, software developer and human-focused team lead with a Ph.D. in Computer Science from the University of Kaiserslautern, Germany. Previously held various roles in medtech R&D, public applied research institutions and computer vision startups, with a deep interest and focus on stochastic and geometric modeling, artificial intelligence, 3D-image analysis and algorithms.
Machine learner, software developer and human-focused team lead with a Ph.D. in Computer Science from the University of Kaiserslautern, Germany. Previously held various roles in medtech R&D, public applied research institutions and computer vision startups, with a deep interest and focus on stochastic and geometric modeling, artificial intelligence, 3D-image analysis and algorithms.
Bilel Benneji
MSc student of Industrial Engineering at the National Institute of Applied Sciences and Technology (INSAT), Tunisia, specializing in Machine Learning and Deep Learning.With experience through various internships as a Data Scientist and Machine Learning Intern. Intrigued by the potential of Quantum Machine Learning models to address industrial challenges.
MSc student of Industrial Engineering at the National Institute of Applied Sciences and Technology (INSAT), Tunisia, specializing in Machine Learning and Deep Learning.With experience through various internships as a Data Scientist and Machine Learning Intern. Intrigued by the potential of Quantum Machine Learning models to address industrial challenges.
Fatma Chaouech
MSc in Software Engineering from the National Institute of Applied Sciences and Technology in Tunisia. Has experience in Machine Learning with an emphasis on NLP, with several internships and a part-time job. Interested in Quantum Computing. Driven by the passion for building impactful software solutions.
MSc in Software Engineering from the National Institute of Applied Sciences and Technology in Tunisia. Has experience in Machine Learning with an emphasis on NLP, with several internships and a part-time job. Interested in Quantum Computing. Driven by the passion for building impactful software solutions.
Desale Fentaw
Holding a Master of Science in Image Processing and Computer Vision from the University of Bordeaux in collaboration with Universidad Autónoma de Madrid and Pázmány Péter Catholic University. My professional journey includes a tenure as a Computer Vision Researcher at VICOMTECH, where I contributed to forensic analysis projects within the Horizon2020 framework. I am adept in a spectrum of methodologies from traditional to cutting-edge techniques and am keen on engaging in projects that leverage my skills to make a significant real-world impact in computer vision and machine learning.
Holding a Master of Science in Image Processing and Computer Vision from the University of Bordeaux in collaboration with Universidad Autónoma de Madrid and Pázmány Péter Catholic University. My professional journey includes a tenure as a Computer Vision Researcher at VICOMTECH, where I contributed to forensic analysis projects within the Horizon2020 framework. I am adept in a spectrum of methodologies from traditional to cutting-edge techniques and am keen on engaging in projects that leverage my skills to make a significant real-world impact in computer vision and machine learning.
Nilotpal Sinha
Data Scientist with twenty years of experience in delivering complex AI and machine learning solutions. He has worked with several large organizations including Amazon AWS, Emirate Airlines, Infosys and Govt. of Abu Dhabi. He was also a machine learning instructor for professionals and university students. He holds an MBA with specialization in analytics, from Illinois Institute of Technology (Chicago, USA) and Great Lakes Institute of Management (Chennai, India); and a B. Tech in Electronics and Telecommunications engineering from National Institute of Technology (Silchar, India). He is an AWS certified machine learning specialist and certified public speaker. He has research interest in computational mathematics and number theory and has an Erdos Number 2.
Data Scientist with twenty years of experience in delivering complex AI and machine learning solutions. He has worked with several large organizations including Amazon AWS, Emirate Airlines, Infosys and Govt. of Abu Dhabi. He was also a machine learning instructor for professionals and university students. He holds an MBA with specialization in analytics, from Illinois Institute of Technology (Chicago, USA) and Great Lakes Institute of Management (Chennai, India); and a B. Tech in Electronics and Telecommunications engineering from National Institute of Technology (Silchar, India). He is an AWS certified machine learning specialist and certified public speaker. He has research interest in computational mathematics and number theory and has an Erdos Number 2.
Antonio Tiene
Quantum physicist interested in tensor network theory and quantum computing. PhD in condensed matter quantum physics at the Universidad Autónoma de Madrid working on matter-light interaction in novel 2D semiconductors.
Quantum physicist interested in tensor network theory and quantum computing. PhD in condensed matter quantum physics at the Universidad Autónoma de Madrid working on matter-light interaction in novel 2D semiconductors.
Govikhuu Basan
Full Stack software engineer with a Bachelor's degree in Computer Science. Worked on a variety of projects, including building a micro-lending platform to developing a crypto-exchange platform. My passion for algorithms always inspires me to seek innovation, whether it's the development of efficient algorithms or the creation of effective solutions. I have great enthusiasm for cryptography, artificial intelligence and machine learning, focusing on reinforced learning and simulation.
Full Stack software engineer with a Bachelor's degree in Computer Science. Worked on a variety of projects, including building a micro-lending platform to developing a crypto-exchange platform. My passion for algorithms always inspires me to seek innovation, whether it's the development of efficient algorithms or the creation of effective solutions. I have great enthusiasm for cryptography, artificial intelligence and machine learning, focusing on reinforced learning and simulation.
Azamat Bakytzhan
MSc in Computer Science from Nazarbayev University in 2023. BSc in Information Systems and the highest GPA 3.98 from Suleyman Demirel University in 2021. 2nd place in Informatrix ASIA 2018. +450 solved problems in LeetCode. Extensive experience across software development, cryptography, system design, distributed computing, cloud computing, edge computing, artificial intelligence, and big data. Specializes in developing innovative products that integrate a variety of disciplines, including Machine Learning, Deep Learning, Computer Vision, Algorithms & Data Structures, Web Development, Mobile Development and DevOps.
MSc in Computer Science from Nazarbayev University in 2023. BSc in Information Systems and the highest GPA 3.98 from Suleyman Demirel University in 2021. 2nd place in Informatrix ASIA 2018. +450 solved problems in LeetCode. Extensive experience across software development, cryptography, system design, distributed computing, cloud computing, edge computing, artificial intelligence, and big data. Specializes in developing innovative products that integrate a variety of disciplines, including Machine Learning, Deep Learning, Computer Vision, Algorithms & Data Structures, Web Development, Mobile Development and DevOps.
Hossein Tavakoli
PhD in quantum physics from Macquarie University (Australia). Worked as a postdoctoral fellow with the focus on the physics and applications of defects in wide-bandgap semiconductors, and quantum machine learning. Afterwards, held a lecturer position at School of Engineering, Universidad Mayor, lecturing Statistics and Machine Learning in addition to performing research on defects, variational quantum circuits, and machine learning.
PhD in quantum physics from Macquarie University (Australia). Worked as a postdoctoral fellow with the focus on the physics and applications of defects in wide-bandgap semiconductors, and quantum machine learning. Afterwards, held a lecturer position at School of Engineering, Universidad Mayor, lecturing Statistics and Machine Learning in addition to performing research on defects, variational quantum circuits, and machine learning.
Marlon Cajamarca
A passionate seasoned Machine Learning Research Engineer with over half a decade of professional expertise in Applied Machine Learning R&D. I specialize predominantly in the domain of Natural Language Processing, with a marked emphasis on Large Language Models (LLMs). My work traverses a broad spectrum, ranging from Computer Vision to Forecasting, Recommender Systems, and Graph Neural Networks. I am committed to close the gap between academic research and its industrial application by infusing groundbreaking research insights into tangible AI solutions, therefore, my strength lies in applied R&D geared towards crafting Enterprise-ready AI applications. Currently I focus entirely on areas encompassing Transformer-based Large Language Models and Computer Vision applications. However, beyond the technicalities, I'm deeply passionate about mentoring and teaching. I find joy in simplifying intricate concepts, fostering vibrant discussions, debates, and collective growth within teams.
A passionate seasoned Machine Learning Research Engineer with over half a decade of professional expertise in Applied Machine Learning R&D. I specialize predominantly in the domain of Natural Language Processing, with a marked emphasis on Large Language Models (LLMs). My work traverses a broad spectrum, ranging from Computer Vision to Forecasting, Recommender Systems, and Graph Neural Networks. I am committed to close the gap between academic research and its industrial application by infusing groundbreaking research insights into tangible AI solutions, therefore, my strength lies in applied R&D geared towards crafting Enterprise-ready AI applications. Currently I focus entirely on areas encompassing Transformer-based Large Language Models and Computer Vision applications. However, beyond the technicalities, I'm deeply passionate about mentoring and teaching. I find joy in simplifying intricate concepts, fostering vibrant discussions, debates, and collective growth within teams.
Oliver Fasterling
Executive MBA from Quantic School of Business and Technology. BSc in Electrical Engineering from University of Houston with a concentration in Robotics and and Computer Science. As a Software engineer by trade with over 18 years of professional experience, I have specialized in Cloud Solutions Architecture and Engineering management of DevOps and SRE practices. I'm a Subject Matter Expert in cloud technologies with multiple certifications in AWS and Kubernetes. Published author and US Patent holder. As an engineer and science enthusiast, I am driven by the application of technology into relevant use cases in the industry. I am thrilled to be part of Multiverse, joining a diverse team of scientists, engineers, and business professionals.
Executive MBA from Quantic School of Business and Technology. BSc in Electrical Engineering from University of Houston with a concentration in Robotics and and Computer Science. As a Software engineer by trade with over 18 years of professional experience, I have specialized in Cloud Solutions Architecture and Engineering management of DevOps and SRE practices. I'm a Subject Matter Expert in cloud technologies with multiple certifications in AWS and Kubernetes. Published author and US Patent holder. As an engineer and science enthusiast, I am driven by the application of technology into relevant use cases in the industry. I am thrilled to be part of Multiverse, joining a diverse team of scientists, engineers, and business professionals.
Safa Hamreras
Ph.D in Computer Science, graduated from University of Skikda, Algeria. Experienced in Machine Learning and Computer Vision. Ex-erasmus Ph.D intern at Universidad de Málaga, Spain and ex-postdoctoral researcher in AI & cybersecurity at Universidad de León, Spain. Currently working as a postdoctoral researcher in Quantum Inspired Machine Learning at Donostia International Physics Center, Spain. Interested in building deep learning models and accelerating them through tensor networks.
Ph.D in Computer Science, graduated from University of Skikda, Algeria. Experienced in Machine Learning and Computer Vision. Ex-erasmus Ph.D intern at Universidad de Málaga, Spain and ex-postdoctoral researcher in AI & cybersecurity at Universidad de León, Spain. Currently working as a postdoctoral researcher in Quantum Inspired Machine Learning at Donostia International Physics Center, Spain. Interested in building deep learning models and accelerating them through tensor networks.
Carlos Andrés Ardila
MSc in Data Science and Operations Research from Universidad de Los Andes in Colombia. I worked as a Machine Learning Engineering Manager at Factored, one of the fastest growing companies in the US backed by Andrew Ng's AI Fund. I also have experience in Fintech and Retail as a Data Scientist and I'm interested in Machine Learning and Game Development, hence Reinforcement Learning is one of the topics I'm eager to keep exploring.
MSc in Data Science and Operations Research from Universidad de Los Andes in Colombia. I worked as a Machine Learning Engineering Manager at Factored, one of the fastest growing companies in the US backed by Andrew Ng's AI Fund. I also have experience in Fintech and Retail as a Data Scientist and I'm interested in Machine Learning and Game Development, hence Reinforcement Learning is one of the topics I'm eager to keep exploring.
Ifta Khairul Alam
BSc in Computer Science and Engineering from Islamic University of Technology. More than 3 years of experience in software development and data engineering. Passionate about developing scalable and impactful software solutions. Have solid background on complex data structure and algorithmic problem solving.
BSc in Computer Science and Engineering from Islamic University of Technology. More than 3 years of experience in software development and data engineering. Passionate about developing scalable and impactful software solutions. Have solid background on complex data structure and algorithmic problem solving.
Hossein Khatibi
BSc in Software Engineering. Graduated in 2011 from KIAU in Iran. He has since applied his skills to various software projects in network security, threat management, and etc.
BSc in Software Engineering. Graduated in 2011 from KIAU in Iran. He has since applied his skills to various software projects in network security, threat management, and etc.
Dominic Gribben
Physicist with experience in tensor networks, quantum information and quantum many-body theory. MSci in Physics with Theoretical Physics from the University of Nottingham. PhD in Physics from the University of St Andrews with thesis on capturing memory effects in open quantum systems using tensor networks. Postdoctoral researcher at Johannes Gutenberg University Mainz.
Physicist with experience in tensor networks, quantum information and quantum many-body theory. MSci in Physics with Theoretical Physics from the University of Nottingham. PhD in Physics from the University of St Andrews with thesis on capturing memory effects in open quantum systems using tensor networks. Postdoctoral researcher at Johannes Gutenberg University Mainz.
Xabier Morales
PhD in Computational Cardiology at Universitat Pompeu Fabra, with a focus on characterizing intracardiac hemodynamics using 4D Flow MRI and developing CFD surrogates with graph and physics-informed neural networks. MSc in Computational Biomedical Engineering at Universitat Pompeu Fabra and BSc in Biomedical Engineering at Tecnun/Universidad de Navarra.
PhD in Computational Cardiology at Universitat Pompeu Fabra, with a focus on characterizing intracardiac hemodynamics using 4D Flow MRI and developing CFD surrogates with graph and physics-informed neural networks. MSc in Computational Biomedical Engineering at Universitat Pompeu Fabra and BSc in Biomedical Engineering at Tecnun/Universidad de Navarra.
Oliver Buerschaper
PhD in Theoretical Physics from Max-Planck-Institute for Quantum Optics and Technical University of Munich. He has held postdoctoral research positions at Perimeter Institute for Theoretical Physics and Freie Universität Berlin, working on quantum information and condensed matter physics. Experienced in tensor networks and topological phases. He has also worked in IT consulting as a software engineer and product owner for more than five years, delivering tailor-made digital solutions to clients in several industry verticals. Quantum computing enthusiast.
PhD in Theoretical Physics from Max-Planck-Institute for Quantum Optics and Technical University of Munich. He has held postdoctoral research positions at Perimeter Institute for Theoretical Physics and Freie Universität Berlin, working on quantum information and condensed matter physics. Experienced in tensor networks and topological phases. He has also worked in IT consulting as a software engineer and product owner for more than five years, delivering tailor-made digital solutions to clients in several industry verticals. Quantum computing enthusiast.
Mazen Ali
Mathematician with a broad background. BSc in finance, MScs in applied and financial mathematics, and PhD in numerical mathematics. Diverse technical expertise in computational methods for tensor networks, partial differential equations, finance, and machine learning. Worked as lead scientist in quantum computing for Fraunhofer, Europe largest applied research organization. Technical lead on quantum hardware testing, advised industry professionals on quantum computing applications.
Mathematician with a broad background. BSc in finance, MScs in applied and financial mathematics, and PhD in numerical mathematics. Diverse technical expertise in computational methods for tensor networks, partial differential equations, finance, and machine learning. Worked as lead scientist in quantum computing for Fraunhofer, Europe largest applied research organization. Technical lead on quantum hardware testing, advised industry professionals on quantum computing applications.
Srikanth Sailada
Working as a Knowledge Associate in Centre for Development of Advanced Computing (CDAC) gave me exposure in research on Post Quantum Cryptography (PQC) as well as Full stack development. I have published multiple conference papers on PQC and also one paper on 5G network slicing. I have previously been involved in two internships. One in CDAC and another in Siemens Technology. I was involved in reinforcement learning model development during my internship in Siemens Technology. I am fortunate to work in various domains that provide me knowledge of various technologies.
Working as a Knowledge Associate in Centre for Development of Advanced Computing (CDAC) gave me exposure in research on Post Quantum Cryptography (PQC) as well as Full stack development. I have published multiple conference papers on PQC and also one paper on 5G network slicing. I have previously been involved in two internships. One in CDAC and another in Siemens Technology. I was involved in reinforcement learning model development during my internship in Siemens Technology. I am fortunate to work in various domains that provide me knowledge of various technologies.
Stefano Piemontese
PhD in Applied Physics at University of Massachusetts Boston, with a thesis focused on characterizing the entanglement complexity of quantum systems, in connection with the efficiency of optimization protocols. Before, a MS in Theoretical Physics and a BS in Physics, both obtained at University "Federico II" in Napoli.
PhD in Applied Physics at University of Massachusetts Boston, with a thesis focused on characterizing the entanglement complexity of quantum systems, in connection with the efficiency of optimization protocols. Before, a MS in Theoretical Physics and a BS in Physics, both obtained at University "Federico II" in Napoli.
Hazem Chammakhi
MSc in Software Engineering from the National Institute of Applied Sciences and Technology (INSAT). Worked on Data Science and Machine Learning projects for almost 3 years for multiple clients and industries. 3x Microsoft Azure Certified (Data Engineer , Data Scientist and AI Engineer). Passionate about the world of Data and uncovering valuable insights with ML.
MSc in Software Engineering from the National Institute of Applied Sciences and Technology (INSAT). Worked on Data Science and Machine Learning projects for almost 3 years for multiple clients and industries. 3x Microsoft Azure Certified (Data Engineer , Data Scientist and AI Engineer). Passionate about the world of Data and uncovering valuable insights with ML.
Matúš Pikuliak
AI/NLP scientist. PhD from Slovak University of Technology in computer science. 10 years of experience working with deep learning, natural language processing, and language models. Interested in societal dangers of AI.
AI/NLP scientist. PhD from Slovak University of Technology in computer science. 10 years of experience working with deep learning, natural language processing, and language models. Interested in societal dangers of AI.
Spiff Azeta
Bachelor’s Degree in Information Systems from Covenant University in Nigeria and extensive experience as a DevOps engineer. I specialize in Cloud computing, Solutions Architecture, Infrastructure as Code, Containerization, Orchestration, Configuration Management, and Observability, particularly in distributed tracing. I have successfully led pivotal projects, including orchestrating the transition from monolithic system architecture to a containerized microservices architecture for a Financial services company and spearheading the successful migration from an on premise infrastructure to the cloud. I thrive on collaborating with passionate teams to solve complex challenges and deliver innovative solutions.
Bachelor’s Degree in Information Systems from Covenant University in Nigeria and extensive experience as a DevOps engineer. I specialize in Cloud computing, Solutions Architecture, Infrastructure as Code, Containerization, Orchestration, Configuration Management, and Observability, particularly in distributed tracing. I have successfully led pivotal projects, including orchestrating the transition from monolithic system architecture to a containerized microservices architecture for a Financial services company and spearheading the successful migration from an on premise infrastructure to the cloud. I thrive on collaborating with passionate teams to solve complex challenges and deliver innovative solutions.
Venkat Chandra Gunja
Bachelor's degree in Electronics and Communication Engineering from Pondicherry University, with interests in the fields of Quantum Computing, ML.
Bachelor's degree in Electronics and Communication Engineering from Pondicherry University, with interests in the fields of Quantum Computing, ML.
David Jansen
PhD in physics from the University of Göttingen, focusing on the numerical simulation of electron-phonon systems. Was a postdoctoral researcher in the quantum information theory group at Instituto de Ciencias Fotónicas (ICFO), investigating relaxation methods applied to condensed matter physics and developing quantum-inspired algorithms for integer optimization problems.
PhD in physics from the University of Göttingen, focusing on the numerical simulation of electron-phonon systems. Was a postdoctoral researcher in the quantum information theory group at Instituto de Ciencias Fotónicas (ICFO), investigating relaxation methods applied to condensed matter physics and developing quantum-inspired algorithms for integer optimization problems.
Juan Camilo Fernandez
M.Sc. Computer Science student at Georgia Tech and accomplished MLOps Engineer, specializing in designing and deploying scalable machine learning solutions for both cloud and edge environments. Driven by a passion for innovation in AI and the transformative potential of quantum technologies.
M.Sc. Computer Science student at Georgia Tech and accomplished MLOps Engineer, specializing in designing and deploying scalable machine learning solutions for both cloud and edge environments. Driven by a passion for innovation in AI and the transformative potential of quantum technologies.
Eya Ghodhbeni
Machine Learning Scientist with 3 years of experience, working on AI projects across various industries. Holds a Master's degree in AI & IoT from the Higher Institute of Computer Science (ISI Ariana) and is a 2x Microsoft Certified Professional (AI Engineer and Data Engineer). Passionate about Machine Learning and LLMs, with a track record of leading technical workshops for students.
Machine Learning Scientist with 3 years of experience, working on AI projects across various industries. Holds a Master's degree in AI & IoT from the Higher Institute of Computer Science (ISI Ariana) and is a 2x Microsoft Certified Professional (AI Engineer and Data Engineer). Passionate about Machine Learning and LLMs, with a track record of leading technical workshops for students.
Mikail Okyay
MSc in Computer Engineering from Ege University and BSc in Electrical and Electronics Engineering from Izmir Katip Celebi University. Extensive experience in AI, natural language processing, and large language models (LLMs). Previous roles at Huawei R&D and Silo AI (AMD after acquisition), focusing on fine-tuning LLMs, scalable AI deployments, and advanced Machine Learning and NLP solutions. Expert in Retrieval-Augmented Generation (RAG), quantization techniques.
MSc in Computer Engineering from Ege University and BSc in Electrical and Electronics Engineering from Izmir Katip Celebi University. Extensive experience in AI, natural language processing, and large language models (LLMs). Previous roles at Huawei R&D and Silo AI (AMD after acquisition), focusing on fine-tuning LLMs, scalable AI deployments, and advanced Machine Learning and NLP solutions. Expert in Retrieval-Augmented Generation (RAG), quantization techniques.
Multiverse Computing Ethics Committee
Why is ethics important for quantum?
We believe that ethics must be central to the development of any new technology and, in particular, in quantum computing. Multiverse Computing aims to be the ethical flagship in the quantum ecosystem.
What is Multiverse Computing doing about it?
We founded the Multiverse Computing Ethics Committee to shape the Multiverse Computing vision and culture, creating an ethics-driven environment where we promote diversity, inclusion, well-being, and sustainability.