Shayegan Omidshafiei is a research scientist in the People + AI Research (PAIR) team in Google Research, where he works on interpretable and human-in-the-loop reinforcement learning (RL). Before joining PAIR, Shayegan was a research scientist in DeepMind, where he worked in the Game Theory team and co-led their Sports Analytics effort. Shayegan's research interests include multiagent RL, game theory, interpretable RL, robotics, and control systems. He previously received his Ph.D. at the Laboratory for Information and Decision Systems (LIDS) and Aerospace Controls Laboratory (ACL) at MIT, specializing in Autonomous Systems. He also received his S.M. degree in Aeronautics and Astronautics from MIT in 2015, and his B.A.Sc. degree in Engineering Science from the University of Toronto in 2012. He is co-inventor of five patents filed with the United States Patent Office and co-author of the book "AI for Sports".
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