Bodhisattva Sen | |
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![]() Sen in 2022 | |
Alma mater |
|
Scientific career | |
Fields | Statistics |
Institutions | Columbia University |
Bodhisattva Sen is an Indian-American statistician.
Sen earned his bachelor and master of statistics from the Indian Statistical Institute in 2002 and 2004, respectively. [1] [2] He then completed a doctorate in statistics at the University of Michigan in the United States. [1] [2] Sen's doctoral dissertation, A Study of Bootstrap And Likelihood Based Methods In Non-standard Problems, was published in 2008 and jointly advised by Michael Woodroofe and Moulinath Banerjee. [3]
Sen joined the Columbia University Department of Statistics as an assistant professor in 2008. Sen was successively promoted to an associate professorship in 2013, and a full professorship in 2020. [2] In 2022, he was elected a fellow of the Institute of Mathematical Statistics for "important contributions to nonparametric inference under shape constraints, optimal transport and its applications to Statistics, and the bootstrap". [4] [5]
Bodhisattva Sen | |
---|---|
![]() Sen in 2022 | |
Alma mater |
|
Scientific career | |
Fields | Statistics |
Institutions | Columbia University |
Bodhisattva Sen is an Indian-American statistician.
Sen earned his bachelor and master of statistics from the Indian Statistical Institute in 2002 and 2004, respectively. [1] [2] He then completed a doctorate in statistics at the University of Michigan in the United States. [1] [2] Sen's doctoral dissertation, A Study of Bootstrap And Likelihood Based Methods In Non-standard Problems, was published in 2008 and jointly advised by Michael Woodroofe and Moulinath Banerjee. [3]
Sen joined the Columbia University Department of Statistics as an assistant professor in 2008. Sen was successively promoted to an associate professorship in 2013, and a full professorship in 2020. [2] In 2022, he was elected a fellow of the Institute of Mathematical Statistics for "important contributions to nonparametric inference under shape constraints, optimal transport and its applications to Statistics, and the bootstrap". [4] [5]