Sourav Chatterjee

Sourav Chatterjee is a Professor of Mathematics and Statistics at Stanford University, affiliated with the Mathematics department. His research interests include Analysis & PDE and Probability, with a particular focus on Probability theory. He can be contacted via email at souravc@stanford.edu or by telephone at (650) 497-3652. His office is located at 390 Serra Mall, Sequoia Hall 108. He also supervises advisees such as Zhihan Li and Fred Rajasekaran.

Sourav Chatterjee is a Professor of Mathematics and Statistics at Stanford University. His research focuses on high-dimensional statistics, random graph theory, and probabilistic methods. He has contributed to spectral clustering, matrix estimation, and the analysis of exponential random graph models. His work includes the study of large deviations, concentration inequalities, and Stein's method for normal approximation. Chatterjee has also explored topics such as exchangeable pairs, Poincaré inequalities, and the stochastic blockmodel. His research emphasizes the development of theoretical tools for understanding complex stochastic systems and their applications in statistics and data science.