Suman Majumdar

Suman Majumdar is an Associate Professor at the University of Connecticut, specializing in mathematical statistics and probability theory.

• Research focuses on weak convergence, posterior asymptotics, and applications to stochastic differential equations.
• Active in theoretical statistics with publications in journals like Sankhya and Journal of Statistical Planning and Inference.
• Based at the Stamford Campus, with expertise in psychometry and inference in SDEs.