Speakers

Michael Wellman, University of Michigan

Michael P. Wellman is Professor of Computer Science & Engineering at the University of Michigan. He received a Ph.D. from the Massachusetts Institute of Technology in 1988 for his work in qualitative probabilistic reasoning and decision-theoretic planning. From 1988 to 1992, Wellman conducted research in these areas at the USAF’s Wright Laboratory. For the past 20+ years, his research has focused on computational market mechanisms for distributed decision making and electronic commerce. As Chief Market Technologist for TradingDynamics, Inc. (now part of Ariba), he designed configurable auction technology for dynamic business-to-business commerce. Wellman previously served as Chair of the ACM Special Interest Group on Electronic Commerce (SIGecom), and as Executive Editor of the Journal of Artificial Intelligence Research. He is a Fellow of the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery.

Jakob Foerster, Oxford University

Jakob Foerster is an Associate Professor at the Engineering Science Department at the University of Oxford and St. Anne's College. He received a DPhil from the University of Oxford, 2019 (Computer Science, Machine Learning) for his work in Deep multi-agent reinforcement learning. Dr. Foerster's research interests are in (Deep) (Multi-Agent) (Reinforcement) Learning, Human-AI Coordination , Emergent Communication, Search, Planning, Game Theory.

Manuela Veloso, Head of JPMorgan AI Research

Manuela M. Veloso is Herbert A. Simon Professor of Computer Science on leave at J.P.Morgan AI Research. She has courtesy Professor appointments in the Robotics Institute, in the Machine Learning Department, in the Electrical and Computer Engineering Department, and in the Mechanical Engineering Department. Professor Veloso received her Ph.D. in Computer Science at Carnegie Mellon University in 1992. Professor Veloso founded and directs the CORAL research laboratory, for the study of multiagent systems where agents Collaborate, Observe, Reason, Act, and Learn. Professor Veloso is Fellow of IEEE, Fellow of AAAS, and Fellow of AAAI . She is the President-Elect of AAAI and she was the President of the RoboCup Federation for the last three years, and of which she continues to be a member of the Board of Trustees. Professor Veloso is the author of one book on "Planning by Analogical Reasoning" and editor of several other books. She is also an author in over 280 journal articles and conference papers.

Lukasz Spruch, University of Edinburgh

Lukasz is Professor at the School of Mathematics, University of Edinburgh. He is also a Turing Fellow at The Alan Turing Institute, London. Before moving to Edinburgh, he was a Nomura Junior Research Fellow at the Institute of Mathematics, University of Oxford, and a member of the Oxford-Man Institute for Quantitative Finance. Lukasz has a broad research interest in probability theory, mean-field models, stochastic control, statistics and quantitative finance. He is also pursuing research on deep neural networks and reinforcement learning. He has run projects jointly with the financial services industry on topics such as model calibration or risk computation. Apart from finance, he is also working on problems that arise in cyber security, energy markets and insurance.