Sourav Chatterjee received the Bachelor of Statistics and Master of Statistics degrees from the Indian Statistical Institute, Calcutta, in 2000 and 2002. He received the PhD degree in statistics from Stanford University in 2005. He joined UC Berkeley as a Neyman Assistant Professor of statistics in 2005, and started as a tenure-track assistant professor in the UC Berkeley statistics department in 2006. He moved to New York University as an associate professor of mathematics in the Courant Institute of Mathematical Sciences in 2009. Since 2013, he has been a professor of mathematics and statistics at Stanford University, Stanford, California. His areas of interest are probability theory, statistics, and mathematical physics.
Dr Chatterjee was awarded a Sloan Research Fellowship in mathematics in 2007, the 2008 Tweedie New Researcher Award from the Institute of Mathematical Statistics, the 2010 Rollo Davidson Prize for work in probability theory, the 2012 Doeblin Prize from the Bernoulli Society, the 2012 Young Researcher Award from the International Indian Statistical Association, and the 2013 Line and Michel Loeve Prize in probability from UC Berkeley. He gave a Medallion Lecture of the Institute of Mathematical Statistics in 2012 and was an invited speaker at the International Congress of Mathematicians in 2014. He was elected a Fellow of the Institute of Mathematical Statistics in 2018, and received the 2020 Infosys Prize in Mathematical Sciences.
- Professor of Mathematics, Department of Mathematics, Stanford University
- Professor of Statistics, Department of Statistics, Stanford University
Applied mathematics and theoretical physics, Pure mathematics, Statistics and Operational Research