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Shirshendu Ganguly is an Associate Professor in the Department of Statistics at the University of California, Berkeley. He specializes in a wide range of problems in probability theory and statistical physics, focusing on areas such as percolation, phase transitions, and the mixing time of Markov chains. His research also delves into random walk on graphs, counting problems, and non-linear sparse settings. Ganguly's work encompasses the geometry of polymers and aspects of disordered environments. He applies models of self-organized criticality and random matrices to study sparse combinatorial structures, contributing significantly to the understanding of complex systems through this multifaceted approach.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.