Moulinath (Mouli) Banerjee^[1] (born 1974) is an Indian statistician at the University of Michigan.

Banerjee completed his bachelor's and master's in statistics at the Indian Statistical Institute in 1995 and 1997, respectively,^[1] then authored a doctoral dissertation, Likelihood Ratio Inference in Regular and Nonregular Problems in 2000, advised by Jon A. Wellner of the University of Washington.^[2] Banerjee remained in Washington as a lecturer until joining the University of Michigan faculty in 2001.^[1]

Banerjee's research interests comprise non-standard statistical models, shape-constrained methods, empirical process theory, distributed computing, and meta-learning. Apart from his statistical pursuits, he takes an avid interest in classical music, fine dining, literature, and philosophy, and together with a co-author has published a new translation of the Rubaiyat of Omar Khayyam from the original Persian.

In 2017, Banerjee was elected a fellow of the Institute of Mathematical Statistics (IMS).^[3][4] The following year, the American Statistical Association elected him to an equivalent honor.^[5] Banerjee will deliver one of the prestigious IMS Medallion Lectures in 2024 and is serving as Editor of IMS's primary review journal, Statistical Science, from 2023 to 2025.