Jassim Al Marzooqi plays a lead role within Abu Dhabi Global Market Academy’s (ADGMA) management team ensuring alignment to the organization’s strategic direction as well as designing and launching programs that directly contribute towards the GDP growth of the emirate of Abu Dhabi and support the knowledge-based economy. His role as Associate Director, Business Enablement is to ensure continued growth and expansion of ADGMA as a leading institution from both an operational and tactical level.

Prior to joining ADGM, Jassim worked within the investments at Emirates Investment Authority’s Strategic Assets department with the objective to ensure superior, risk-adjusted returns to deliver long-term financial value to the UAE. Jassim played a lead role working with Strategic Assets holdings, improving their capabilities and guiding them through strategy definition and implementation. Within the organization, Jassim gained experience in Private Equity, Hedge Funds, and Real Estate & Infrastructure

Dr. Horst Simon is a globally recognized expert in the development of parallel computational methods, with a specialization in sparse matrix algorithms and large-scale eigenvalue problems, boasting 40 years of experience in the sector. He recently became the inaugural Director of ADIA Lab in 2022, a leading institution dedicated to pioneering research and innovation in the field of computational and data science. Before this, he held various prominent positions at Berkeley Lab since 1996, significantly contributing to energy innovation and fostering close collaborations between national labs and the industry. Dr. Simon has also worked with esteemed organizations such as Boeing, SGI, NASA Ames, and renowned universities like Stony Brook and UC Berkeley. His commendable work has earned him prestigious recognitions including two Gordon Bell Prizes in 2009 and 1988, the ACM SC Test of Time Award, and the SIAM CSE Career Award. He is a significant figure in the high-performance computing community, involved in the biannual publication of the TOP500 list of the most powerful supercomputers and is a distinguished SIAM Fellow.

John Martinis did pioneering experiments in superconducting qubits in the mid 1980’s for his PhD thesis. He has worked on a variety of low temperature device physics during his career, focusing on quantum computation since the late 1990s. He was awarded the London Prize in Low temperature physics in 2014 for his work in this field. From 2014 to 2020 he worked at Google to build a useful quantum computer, culminating in a quantum supremacy experiment in 2019. He was awarded the John Stewart Bell prize in 2021.

Dr. Davide Venturelli has worked since 2012 in the NASA Quantum AI Laboratory (QuAIL) under the NASA Academic Mission Service, invested in research projects dealing with quantum optimization applications and their implementation in a hardware-software co-design approach. He has authored more than 50 publications and 9 patents on the subject of AI, Theoretical Physics, Quantum Computing, and Robotics. He teaches Quantum Integer Programming as an adjunct professor at Carnegie Mellon University Tepper's School of Business. He has experience winning, managing, and leading multi-million dollar R&D projects as Principal Investigator or co-PI, sponsored by DARPA, NSF, and DOE. He is the co-lead of the Ecosystem task of the National Quantum Initiative Superconducting Quantum Materials and System (SQMS) Center at Fermi National Laboratory. In 2021 he was elected member of the Quantum Economic Development Consortium (QED-C) steering committee, the organism coordinating 100+ companies involved in building the supply chain for the emergent quantum technology industry.

Dr. Ying Chen is an Associate Professor in the Department of Mathematics, Director of the Centre for Quantitative Finance, Director of the PhD Program in Digital FinTech at the Asian Institute of Digital Finance, and a Joint Appointee at the Risk Management Institute, National University of Singapore. She develops statistical modeling and machine learning methods tailored for complex data characterized by nonstationarity, high frequency, large dimensions, and intricate dependencies. Her work also extends to quantum finance, forecasting, energy modeling, citation analysis, text mining and sentiment analysis, and network analysis. Dr. Chen is a Council Member of the International Statistical Institute and an ISI Elected Member. Additionally, She serves as the Scientific Secretary and a member of the Executive Committee of the International Association for Statistical Computing (IASC) and is the Chairperson-elect of the Asian Regional Section (ARS) of the IASC.

Currently Paul is an Associate Professor in SCIS working on disruptive technologies in FinTech. He gained a PhD at Imperial College in quantum physics and then worked in scientific instruments. Prior to SMU, he lead application development teams on global financial technology projects for over 15 years in the UK and Asia. Paul has been advising companies on disruptive technologies since 2014 and is now teaching and researching on blockchain and quantum computing as well as presenting at events, judging hackathons and moderating panel discussions.

Prof. Jingbo Wang is the Director of the QUISA (Quantum Information, Simulation and Algorithms) Research Centre at The University of Western Australia. Her research team pioneered quantum walk-based algorithms to solve practical problems otherwise intractable. Prof Wang also leads the UWA-Pawsey educational quantum computing centre. In this capacity, she oversees a comprehensive suite of quantum computing lecture courses offered at the undergraduate, masters, and PhD levels. Her leadership contributes significantly to the educational advancement and integration of quantum computing expertise within the academic realm. Prof Wang is also the co-Director of Quantum Girls, a government-funded project aiming to encourage more girls and women throughout Australia to consider careers in quantum science, in particular quantum computing.

Dr. Stefan Woerner is a Principal Research Scientist and Manager of the Quantum Computational Science group of IBM Quantum at IBM Research Europe - Zurich. The focus of his research is focused on quantum algorithms for optimization, simulation, and machine learning as well as their practical applications, particularly in finance.

Professor Khalil has over 20 years of experience in academia in diverse roles, spanning leadership, administration, research, and teaching, at top institutions in the UAE and USA. Prof. Khalil’s work spans the fields of Bioinformatics, Quantum Computing, Privacy, Human-Computer Interaction, AI Ethics and MIS and has been awarded external grants from ADEK, National Electronic Security Agency, Google & Emirates Foundation. An active researcher, he has published over 80 Scopus publications in highly ranked journals and conferences and holds 2 research-developed patents. He is keenly familiar with the academic and research culture of the UAE, especially having served full-time as the Director of Research at Abu Dhabi University for 6 years.

In direct connection with his achievements in academia and academic leadership, Prof. Khalil personally puts his belief in experiential learning into practice. Having founded two start-ups spanning EdTech, E-commerce, Prof. Khalil has gained extensive and intimate familiarity with the entrepreneurial and innovation echo system in the UAE and the region as well as substantial people skills and connections.

Neural networks are now ubiquitous in Finance for data analysis, pricing, hedging, modelling, etc. We investigate their quantum counterparts, namely parameterised quantum circuits and prove some new form of universal approximation theorem with error bounds. This in turn provides solid foundations for their use, and we highlight a few of them, in particular in the context of (quantum) GAN and to solve (high-dimensional) PDEs that arise in Finance.

Dr Oskar Mencer got his PhD at Stanford University in 2000. Since then Oskar worked at the Computing Science Center at Bell Labs in Murray Hill, and in 2003 took his Bell Labs project out to start Maxeler Technologies, to commercialize static Dataflow computing. After building and delivering Dataflow supercomputers to Chevron, Schlumberger, JP Morgan, Citibank, UK STFC Daresbury Labs, and Jülich in Germany, Maxeler got acquired by Groq, the Language Processing Unit (LPU) company in California in 2021. At Groq, now based in Dubai, Oskar continues to drive Dataflow as application development such as QUBO, Medical Prescription AI, Seismic Imaging, Finance Derivatives Risk, and other Physics simulations.

Dr. Dridi is a seasoned leader in the fields of quantum computing, artificial intelligence, and mathematical optimization. With a PhD in Mathematics, Raouf has spent decades at the forefront of advanced technology. His professional journey includes distinguished roles such as the Advanced Technology Team Leader and Senior Quantum Solution and Development Scientist at Quantum Computing Inc.. Notably, Raouf played a pivotal role in helping Quantum Computing Inc. go public on NASDAQ, a testament to his business acumen and understanding of the quantum computing market.

He has also served as Quantum Machine Learning and Optimization Lead at 1Qbit and holds multiple patents in the quantum computing space. As an academic contributor, Raouf co-founded the quantum computing group at Carnegie Mellon University, and helped push the boundaries of quantum and classical computing algorithms.

In his role at Qamia., Raouf brings his extensive experience to guide the company's strategic direction in quantum algorithms and applications. He is passionate about harnessing the disruptive capabilities of quantum computing and AI to solve real-world problems in various industries including healthcare, and energy sectors.