Moulinath Banerjee
From Wikipedia, the free encyclopedia
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]