Dr. Moulinath Banerjee

Biography

Moulinath Banerjee is a Professor in the Department of Statistics at the University of Michigan. He completed his B.Stat (Hons) and M.Stat in Mathematical Statistics Probability from the Indian Statistical Institute in 1995 and 1997 respectively, and obtained his Ph.D. in Statistics from the University of Washington in December 2000. Banerjee served as a lecturer during the Winter and Spring quarters in 2001 before joining the University of Michigan in Fall 2001. His research interests include non-standard problems and empirical process theory, with significant contributions to shape-restricted inference, threshold boundary estimation, and graphical networks. He also investigates the Statistics-Machine Learning interface with an emphasis on data integration. Banerjee has received numerous accolades, including the IISA Young Investigators Award in 2011, and is a fellow of both the Institute of Mathematical Statistics and the American Statistical Association. He is the recipient of the IMS Medallion Lecture award for 2024 and has been appointed as the Editor for Statistical Science from 2023 to 2025. Beyond his academic pursuits, he has a diverse range of interests, including classical music, literature, history, philosophy, and physics, and has a notable passion for gourmet food.

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