Rate My Professor Elena Kosygina

Elena Kosygina is a Professor of Mathematics at Baruch College, City University of New York (CUNY), in the Weissman School of Arts and Sciences, and a Professor in the Ph.D. Program in Mathematics at the CUNY Graduate Center. Her research focuses on probability theory, stochastic processes, and partial differential equations, with specific interests in random walks and diffusions in random media, stochastic homogenization of Hamilton-Jacobi-Bellman equations, excited and self-interacting random walks, and convergence properties of various stochastic processes. She has made significant contributions to understanding phenomena such as the recurrence and transience of random walks on grids, Lyapunov exponents for Green's functions in random potentials, and homogenization in ergodic media.

Kosygina received her Diploma in Mathematics with Honors from Moscow State University in 1989 and her Candidate of Science degree in Physics and Mathematics from the same university in 1995, under the supervision of A.S. Kalashnikov. She earned her Ph.D. in Mathematics from the Courant Institute of Mathematical Sciences at New York University in 1999. She joined the Department of Mathematics at Baruch College in September 2002 and was promoted to Full Professor in 2013. She has also held a visiting membership at the Institute for Advanced Study in the School of Mathematics from January to July 2009. Key publications include 'Stochastic homogenization of Hamilton-Jacobi-Bellman equations' (2006, with Fraydoun Rezakhanlou, Communications on Pure and Applied Mathematics), 'Lyapunov exponents of Green's functions for random potentials tending to zero' (2011, with Thomas S. Mountford and Martin P.W. Zerner, Probability Theory and Related Fields), 'Excited random walks: results, methods, open problems' (2012, with Martin P.W. Zerner, Bulletin of the Institute of Mathematics Academy Sinica), and 'Convergence of random walks with Markovian cookie stacks to Brownian motion perturbed at extrema' (2022). Her work has garnered over 690 citations on Google Scholar, influencing advancements in stochastic analysis and probability theory.