Mixed Autonomy Traffic: A Reinforcement Learning Perspective

Cathy Wu is an Assistant Professor at MIT in LIDS, CEE, and IDSS. She holds a PhD from UC Berkeley, and B.S. and M.Eng from MIT, all in EECS, and recently completed a Postdoc at Microsoft Research AI. She works at the intersection of machine learning, optimization, autonomy, and urban systems. Her work has been acknowledged by several awards, including the 2019 Microsoft Location Summit Hall of Fame, 2018 Milton Pikarsky Memorial Dissertation Award, the 2016 IEEE ITSC Best Paper Award, and fellowships from NSF, Berkeley Chancellor, NDSEG, and Dwight David Eisenhower.