Dmitry Dolgopyat

Dmitry Dolgopyat is a Professor of Mathematics at the University of Maryland, affiliated with the Department of Mathematics and the Institute for Physical Science and Technology (IPST). His primary research focuses on chaotic dynamics, averaging techniques, and motion in random media. He explores complex dynamical systems, including hyperbolic flows, billiards, and random walks, with applications to statistical physics and ergodic theory.

• Affiliations: University of Maryland Department of Mathematics, IPST
• Research Interests: Chaotic systems, mixing rates, limit theorems, random walks, and applications to statistical mechanics

His work bridges pure mathematics and applied fields, with contributions to understanding ergodic properties, correlation decay, and probabilistic behavior in dynamical systems. He has published extensively in leading journals such as Annals of Mathematics, Duke Mathematical Journal, and Communications in Mathematical Physics.