Vasilis Syrgkanis

• Program

  Science of Trustworthy AI

• Institution

  Stanford University

• Location

  USA

Vasilis Syrgkanis is an Assistant Professor of Management Science and Engineering and (by courtesy) of 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 (ACM EC, NeurIPS, COLT). He is the recipient of a 2022 Amazon Research Award, a 2023 Google Research Scholar Award, the 2023 Bodossaki Distinguished Young Scientist Award, a 2024 NSF CAREER Award and a 2025 Balakrishnan Early Career Award.