Director of Research and Engineering, Barclays
Lee Braine: Director of Research and Engineering, Barclays
Managing Director, Head of Data Analytics, Standard Chartered Bank
Alexei Kondratyev: Managing Director, Head of Data Analytics, Standard Chartered Bank
In his role as Managing Director and Head of Data Analytics at Standard Chartered Bank, Alexei is responsible for providing data analytics services to Financial Markets sales and trading.
He joined Standard Chartered Bank in 2010 from Barclays Capital where he managed a model development team within Credit Risk Analytics. Prior to joining Barclays Capital in 2004, he was a senior quantitative analyst at Dresdner Bank in Frankfurt.
Alexei holds MSc in Theoretical Nuclear Physics from the University of Kiev and PhD in Mathematical Physics from the Institute for Mathematics, National Academy of Sciences of Ukraine.
Associate Director, Quantitative Analyst, Model Validation, Banco Santander
Ángel Rodríguez-Rozas: Associate Director, Quantitative Analyst, Model Validation, Banco Santander
Ángel Rodríguez Rozas holds a Ph.D. in Computational and Applied Mathematics from the University of Lisbon and an M.Sc. in Artificial Intelligence from the Universitat Rovira i Virgili (URV) and the Polytechnic University of Catalonia (UPC). He has authored more than 20 research articles in international peer-reviewed journals in many different areas, including artificial intelligence, numerical methods for PDEs, high-performance computing, plasma physics, the finite element method, seismic wave propagation, and oil&gas simulation and inversion of petrophysical measurements.
Ángel joined Banco Santander in 2018 where he is working as a Quant Analyst in the Internal Validation team, within the Risk Department. As part of his role, Ángel is responsible for leading the design and development of a numerical library for the internal validation of pricing models, including interest rates, FX, credit, commodities, equity, inflation, and xVA. His research efforts are currently focusing on the finance industry, investigating efficient numerical methods (Quasi- and Monte Carlo methods, Finite Elements) and quantum computing algorithms (digital and analog) for the pricing of financial derivatives.
Principal Researcher Quantitative Analysis, Rigetti
David Garvin: Principal Researcher Quantitative Analysis, Rigetti
David focusses on researching, developing and implementing financial industry applications of quantum computing.
David has over 20 years experience as a Front-Office Quant in the Finance Industry. Previously, he has been the Global Head of Quantitative Analysis at the Commonwealth Bank of Australia. Prior to that, he was a Director at Deutsche Bank and a Quant Analyst at Morgan Grenfell. He has covered all asset classes and been involved in management, modelling, risk and analytics, derivatives and structured products, machine learning and electronic trading.
David holds a PhD in Artificial Intelligence from Cambridge University and an MBA (Exec) from the Australian Graduate School of Management. He has authored articles in finance, computing, physics and engineering.
Professor of Quantum Technologies, University of Sussex
Prof. Winfried Hensinger: Professor of Quantum Technologies, University of Sussex
Prof Winfried Hensinger heads the Sussex Ion Quantum Technology Group and he is the director of the Sussex Centre for Quantum Technologies. Hensinger’s group works on developing and constructing practical trapped-ion quantum computers as well quantum sensors. Hensinger produced the first ion trap microchip in the world and more recently, his group developed a new generation of quantum microchips featuring world record specifications. In 2016, Hensinger and his group invented a new approach to quantum computing with trapped ions where voltages applied to a quantum computer microchip can replace billions of laser beams which would have been required in previous proposals on how to build a quantum computer. In 2017, Hensinger announced the first practical blueprint for building a quantum computer in a paper published in Science Advances (http://advances.sciencemag.org/content/3/2/e1601540.full) giving rise to the assertion that is now possible to construct a large scale quantum computer. Hensinger recently founded, Universal Quantum, a full stack quantum computing company where he serves as Chief Scientist and Chairman.
CEO, HTF Group
Geoff Kates: CEO, HTF Group
Head of Machine Learning and Quantum Algorithms, Cambridge Quantum Computing
Mattia Fiorentini: Head of Machine Learning and Quantum Algorithms, Cambridge Quantum Computing
Dr. Mattia Fiorentini heads the Machine Learning and Quantum Algorithms group at CQC. He supervises the research on quantum algorithms for machine learning and optimization, and their implementation on the noisy, intermediate-scale quantum hardware that is available right now. With his team, he focuses on quantum algorithms that are applicable to operational research and finance. Previously, he earned a Ph.D. in Theory and Simulation of Condensed Matter from King’s College London, focusing on the simulation of first-principles electronic transport by means of high-performance computing.
Professor of Nanoelectronics, University College London
Paul Warburton: Professor of Nanoelectronics, University College London
Short bio: Paul Warburton is a Professor of Nanoelectronics at the London Centre for Nanotechnology and the Department of Electrical Engineering at University College London. He heads a research team working on quantum annealing using superconducting hardware. He is interested in both commercial applications and understanding the role of quantum mechanics in delivering performance benefits in quantum annealing. He also leads the Q-LABS Innovation Centre in quantum computation.
Quantum Computing – Program Management and Business Development, Rigetti
Marco Paini: Quantum Computing – Program Management and Business Development, Rigetti
Marco leads Rigetti’s clients programs in the UK and Rigetti’s quantum computing applications portfolio development.
Prior to joining Rigetti, Marco spent more than eighteen years with Accenture, where he has held several roles in technology, working as software engineer and a technology product manager, leading the delivery of technology programs, managing technology accounts and driving innovation, with a focus on artificial intelligence. In the last part of his career with Accenture, Marco oversaw the AI ecosystem and the development of the quantum computing offering for the Accenture UKI Financial Services Technology Advisory practice.
Marco studied physics at the University of Pavia, where he collaborated with the Quantum Information Theory Group of the University of Pavia, contributing to important results in quantum tomography