Bodhisattva Sen


I am an Associate Professor of Statistics at Columbia University, New York.  My core statistical research centers around nonparametrics and large sample theory -- nonparametric function estimation (with special emphasis on shape constrained estimation), likelihood and bootstrap based inference in (non-standard) parametric and nonparametric models, and change-point and threshold estimation. I am also actively involved in interdisciplinary research, especially in astronomy.

I completed my Ph.D in Statistics from University of Michigan, Ann Arbor, under the supervision of Prof. Michael Woodroofe and Prof. Moulinath Banerjee.  Prior to this I was a student at the Indian Statistical Institute, Kolkata, where I received Bachelors (B.Stat.) and Masters (M.Stat) in Statistics with specialization in Mathematical Statistics and Probability (MSP).

Apart from Statistics, I like to travel and watch movies.  I am also interested in photography and cricket.