SHORT BIO
Vasilis Syrgkanis is an Assistant Professor in Management Science and Engineering and (by courtesy) in Computer Science and Electrical Engineering, in the School of Engineering at Stanford University and a member of the Institute for Computational and Mathematical Engineering. His research interests lie in the areas of machine learning, causal inference, econometrics, online and reinforcement learning, game theory/mechanism design and algorithm design. Until August 2022, he was a Principal Researcher at Microsoft Research, New England, where he was a member of the EconCS and StatsML groups. During his time at Microsoft, he co-led the project on Automated Learning and Intelligence for Causation and Economics (ALICE) and was a co-founder of EconML, an open-source python package for causal machine learning. He received his Ph.D. in Computer Science from Cornell University. His research has received best paper awards at several top tier machine learning and AI conferences. He is the recipient of a 2022 Amazon Research Award and of the 2023 Bodossaki Distinguished Young Scientist award.
