Faculty DirectoryImon Banerjee
Adjunct Assistant Professor
Contact
2145 Sheridan RoadTech
Evanston, IL 60208-3109
Email Imon Banerjee
Website
Departments
Industrial Engineering and Management Sciences
Education
Ph.D. in Statistics, Purdue University, 2018–2023
Advisors: Prof. Vinayak Rao and Prof. Harsha Honnappa
Dissertation research: Controlled Markov Chains and Reinforcement Learning
B.Sc. and M.Sc. in Statistics, Indian Statistical Institute, Kolkata, 2013–2018
Advisor: Prof. Swagatam Das
Biography
Imon Banerjee is a Postdoctoral Fellow at the University of Chicago Booth School of Business, working with Prof. Bahar Taşkesen. His research lies at the intersection of statistics, machine learning, stochastic processes, and optimization, with a particular focus on statistical inference and learning under dependence. His work includes controlled Markov chains, reinforcement learning, Bayesian and variational inference, nonparametric change-point detection, bootstrap methods, and sampling.
Before joining Chicago Booth, he was a Visiting Assistant Professor in the Department of Statistics at Purdue University and an IEMS Alumni Fellow at Northwestern University. His research has appeared in venues including Operations Research, Transactions on Machine Learning Research, AISTATS, NeurIPS, Entropy, and IEEE Transactions on Fuzzy Systems.
Research Interests
Imon’s research interests include statistical inference for dependent and stochastic systems, controlled Markov chains, reinforcement learning, Bayesian inference, variational inference, Monte Carlo and sampling methods, PAC-Bayesian theory, bootstrap methods, nonparametric change-point detection, stochastic optimization, and statistical machine learning. His current work also includes structured dependence in variational inference, manifold-valued statistics, low-dimensional sampling under reconstructed constraints, filtering, and out-of-distribution detection.