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Sergey Lototsky is a Professor of Mathematics at the University of Southern California. He earned his Ph.D. in Applied Mathematics from USC in 1996 and has significant experience in probability theory, stochastic processes, and nonlinear filtering. Over his career, he has held various academic positions including Associate Professor and Assistant Professor at USC, as well as a C.L.E. Moore Instructor at MIT. His research interests include stochastic partial differential equations, stochastic parabolic equations, and chaos approaches in nonlinear filtering. He has been an invited speaker at numerous conferences and has received several grants, including a Sloan Research Fellowship. Lototsky has published extensively in prestigious journals, contributing to the field of stochastics with numerous articles and book chapters. His work is recognized for advancing the theory and applications of stochastic differential equations, making significant impacts on the understanding of complex stochastic systems and their applications in mathematical physics and engineering.
University of Southern California • Los Angeles, CA
Teaching and conducting research in mathematics
University of Southern California • Los Angeles, CA
Conducting research and teaching in mathematics
University of Southern California • Los Angeles, CA
Conducting research and teaching in mathematics
Massachusetts Institute of Technology • Cambridge, MA
Teaching and conducting research in mathematics
GRE is NOT required for Master's applicants for 2025-2026.