Moulinath Banerjee

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

Education and career[edit]

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.

Honors and awards[edit]

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.  


  1. ^ a b c "Moulinath Banerjee". University of Michigan. Retrieved 13 August 2023.
  2. ^ Moulinath Banerjee at the Mathematics Genealogy Project Edit this at Wikidata
  3. ^ "Professor Moulinath Banerjee named IMS Fellow". University of Michigan. 3 May 2015. Retrieved 13 August 2023.
  4. ^ "2017 IMS Fellows". Institute of Mathematical Statistics. 15 May 2017. Retrieved 13 August 2023.
  5. ^ "Moulinath Banerjee has been selected as a Fellow of the American Statistical Association". University of Michigan. 13 April 2018. Retrieved 13 August 2023.