OxML 2022 PROGRAM COMMITTEE
Mona is the founder and CEO of AI for Global Goals, which aspires to connect AI talents to the industries and companies whose missions are aligned with the UN's Sustainable Development Goals (SDGs). Her main interest is in training, up-skilling and re-skilling AI scientists by organising academic/educational events such as Oxford ML Summer schools, workshops and hackathons.
She has a D.Phil. in Biomedical Engineering from the University of Oxford, and has years of experience in the biomedical industry, and deep tech venture capital.
Program Chair, ML x Health
Kazem is a cardiologist, epidemiologist and health services researcher with interest in prevention and management of chronic diseases. He has led the design, coordination and reporting of multi-centre randomized trials, collaborative meta-analyses and large-scale observational studies that have investigated the burden, causes and management of cardiovascular diseases. He is the Director of the Oxford Martin programme on Deep Medicine which is using some of the largest and most complex biomedical datasets that have ever been collected to generate insights into complex disease patterns, risk trajectories and treatment effects.
Program Chair, ML x Finance
Renyuan Xu is currently a WiSE Gabilan Assistant Professor in the Epstein Department of Industrial and Systems Engineering at the University of Southern California. Before joining USC, Renyuan spent two years as a Hooke Research Fellow in the Mathematical Institute at the University of Oxford. She completed her Ph.D. degree in Operations Research from UC Berkeley in 2019. Her research interests lie broadly in the span of machine learning, stochastic control, game theory, and mathematical finance.
Program Chair, OxML 2022
Reza is currently the Chief Scientist at AIG, and Investigator (in machine learning and medicine) at Deep Medicine program of The University of Oxford. Reza's current research at Oxford is focused on probabilistic machine learning, deep sequence models, biomedical informatics, and population health.
Reza’s team at AIG (i.e., Investments AI) is a group of scientists, engineers, designers, product managers, and digital strategy experts, focused on building AI-first products in FinTech.
Program Chair - ML Fundamentals
Yaodong is an assistant professor at Peking University. His research is about reinforcement learning and multi-agent systems. Before joining Peking University, he was an assistant professor at King's College London. Before KCL, he was a principal research scientist at Huawei U.K. where he headed the multi-agent system team in London. Before Huawei, he was a senior research manager at AIG, working on AI applications in finance. He holds a Ph.D. degree from University College London, an M.Sc. degree from Imperial College London and a Bachelor degree from University of Science and Technology of China.