University of Southern California

Gourab Mukherjee
Assistant Professor of Data Sciences and Operations

USC Marshall School of Business
Los Angeles, CA 90089-0808

PhD, Stanford University; MStat, BStat, Indian Statistical Institute


Gourab Mukherjee is a statistician with research interests in statistical prediction analysis. His work includes the design of efficient probability forecasting strategies for repeated investments, sports betting and health sciences. He is currently working on estimation of predictive density in high-dimensional models with structural constraints. He is also involved in long-term collaborative studies on the development of advanced vaccines where he helps scientists with multi-parametric analysis of cell-signaling data-sets.


Radchenko, P., and Mukherjee, G. (2015) "Convex Clustering via L-1 Fusion Penalization," Journal of the Royal Statistical Society, Series B.
Mukherjee, G., and Johnstone, I. M. (2014) "Exact minimax estimation of the predictive density in sparse Gaussian models," Annals of Statistics.