Wenlong Mou is an Assistant Professor at the Department of Statistical Sciences, University of Toronto. In 2023, he obtained his PhD in EECS at UC Berkeley, advised by Martin Wainwright and Peter Bartlett. Prior to that, he received his B.Sc. degree in Computer Science from Peking University. Wenlong’s research interests include statistics, machine learning theory, dynamic programming and optimization, and applied probability. He is particularly interested in designing optimal statistical methods that enable optimal data-driven decision making, powered by efficient computational algorithms.
- Statistical Learning Theory
- Reinforcement Learning
- INFORMS Applied Probability Society Best Student Paper Finalist, 2022