About
Dmitry Dolgopyat is a Professor at the University of Maryland, with a distinguished career in Mathematics. His affiliations include Penn State University, Institute for Advanced Study (Princeton), and University of Toronto/Fields Institute.
- Education: MSc in Mathematics from Moscow State University (1994), PhD in Mathematics from Princeton University (1997) under Yakov Sinai, and postdoctoral research at UC Berkeley under Marina Ratner.
His research focuses on Probability theory, Dynamical systems, Statistical physics, and Ergodic theory, with significant contributions to the statistical properties of dynamical systems, as evidenced by continuous NSF funding since 1999.
- 2009 Michael Brin Prize in Dynamical Systems
- Sloan Fellowship (Fall 2000 - Spring 2002)
- Miller Fellowship (Fall 1997 - Spring 1999)
- Plenary/invited talks at major international conferences, including ICM 2006, ICMP 2003, and ICMP 2012
He has served on editorial boards for journals like the Journal of Modern Dynamics, Nonlinearity, and Ergodic Theory and Dynamical Systems. His NSF grant (DMS 1956049) underscores his sustained research excellence.
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