Sergey Lototsky

Sergey Lototsky is a Professor in the Department of Mathematics at the University of Southern California (USC), where he has held academic roles since 1998, progressing from Assistant Professor (1998–2003) to Associate Professor (2003–2006) and his current position since 2006. He also served as a C.L.E. Moore Instructor at MIT (1997–2000) and held postdoctoral roles at the University of Minnesota (1996–1997).

Education: PhD in Applied Mathematics (1996, USC), M.Sc. in Physics (1992, Moscow Institute of Physics and Technology). His research focuses on Probability Theory, Stochastic Processes, SPDEs, and Mathematical Finance. He has supervised over 20 Ph.D. and Master’s students, contributing to advancements in stochastic analysis and numerical methods.

Teaching: Taught numerous courses, including graduate seminars on Probability (MATH 705), specialized topics like Malliavin Calculus and Gaussian Processes, and undergraduate courses such as Probability Theory (MATH 407) and Mathematical Statistics (MATH 408). Known for curriculum development, co-creating MATH 395 (Problem Solving) and MATH 606 (Stochastic Processes).

Research & Awards: Recipient of NSF CAREER Award, Sloan Fellowship, and Fulbright Grant. Authored over 80 publications, including influential books like *Stochastic Partial Differential Equations* (Springer, 2017). Editor for journals like *Stochastics and Partial Differential Equations: Analysis and Computations* and *SIAM Journal on Mathematical Analysis*.

Professional Service: Organized conferences, chaired USC academic committees, and served on NSF panels. Active in editorial roles and peer review for leading journals in stochastic analysis and applied mathematics.