Sourav Chatterjee, 2010
|Institutions||University of California at Berkeley
New York University (Courant Institute of Mathematical Sciences)
|Alma mater||Indian Statistical Institute
B.Stat. (2000) M.Stat. (2002)
|Doctoral advisor||Persi Diaconis|
|Doctoral students||Partha Sarathi Dey|
Sourav Chatterjee (born November 1979) is a mathematician, specializing in mathematical statistics and probability theory. Chatterjee is credited with work on Stein's method on Spin Glasses and also the Universality of Lindeberg principle. For these achievements, he was awarded a Sloan Fellowship in 2007 from the Alfred P. Sloan Foundation and the Tweedie New Researcher Award in 2008 from the Institute of Mathematical Statistics.
Chatterjee received a Bachelor and Master of Statistics from Indian Statistical Institute, Kolkata, and a Ph.D from Stanford University in 2005, where he worked under the supervision of Persi Diaconis. Chatterjee joined University of California, Berkeley as a Visiting Assistant Professor, then received a tenure-track Assistant Professor position in 2006. Since July 2009 he is an Associate Professor of Statistics and Mathematics at University of California, Berkeley. In September 2009, Chatterjee also became an Associate Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University.
Chatterjee was awarded the Rollo Davidson Prize in 2010.
- 2008 Tweedie New Researcher Award, from the Institute of Mathematical Statistics.
- Sloan Research Fellowship in Mathematics, 2007-2009.
- Rollo Davidson Prize 2010.
- IMS Medallion Lecture, 2012.
- Inaugural Wolfgang Doeblin Prize in Probability, 2012.
- "About Me", Sourav Chatterjee homepage at the University of California at Berkeley.
- "Sloan Fellows Announced". Notices of the American Mathematical Society 54 (6): 758. 2007.
- 2008 Tweedie Award: Marina Vannucci, chair of the IMS Travel Awards Committee remarked, “The decision of the Committee was unanimous. Sourav Chatterjee has made striking extensions of classical ideas of Lindeberg and Charles Stein in the spirit of Talagrand’s concentration inequalities, leading to improved inequalities in a broad range of topics from spin glasses and random matrices to estimation of effective dimension of i.i.d. high-dimensional data.”
- *Sourav Chatterjee at the Mathematics Genealogy Project
- CV at Berkeley
- The Annals of Probability, Editorial Board.
- Annales de l’Institut Henri Poincaré, Editorial Board.
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