Moulinath (Mouli) Banerjee[1] (born 1974) is an Indian statistician at the University of Michigan.
Education and career
editBanerjee 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]
Research
editBanerjee'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.
Honors and awards
editIn 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.
References
edit- ^ a b c "Moulinath Banerjee". University of Michigan. Retrieved 13 August 2023.
- ^ Moulinath Banerjee at the Mathematics Genealogy Project
- ^ "Professor Moulinath Banerjee named IMS Fellow". University of Michigan. 3 May 2015. Retrieved 13 August 2023.
- ^ "2017 IMS Fellows". Institute of Mathematical Statistics. 15 May 2017. Retrieved 13 August 2023.
- ^ "Moulinath Banerjee has been selected as a Fellow of the American Statistical Association". University of Michigan. 13 April 2018. Retrieved 13 August 2023.
