Speaker: Roman Vershynin
Professor at the University of California, Irvine
About the Speaker: Roman Vershynin is a Professor of Mathematics working at the University of California, Irvine. His primary area of expertise is high dimensional probability. He is interested in random geometric structures that appear across mathematics and data sciences, in particular in random matrix theory, geometric functional analysis, convex and discrete geometry, geometric combinatorics, high dimensional statistics, information theory, learning theory, signal processing, numerical analysis, and network science.
Roman Vershynin received an equivalent of M.S. from Kharkiv National University in Ukraine in 1996 and Ph.D. from University of Missouri-Columbia in 2000. Prior to his appointment at the University of California, Irvine, he was a faculty at the University of Michigan (2008—2017), the University of California, Davis (2003-2008) and a postdoctoral fellow at the University of Alberta in Canada (2001-2003) and Weizmann Institute of Science in Israel (2000-2001). He is an Editor of Mathematical Statistics and Learning (2016—present) and an Associate Editor of the Journal of Fourier Analysis and Applications (2010—present) and Acta Mathematica Hungarica (2019—present); in the past he served on the editorial board of Michigan Mathematical Journal (2016—2017). His honors include the Alfred Sloan Research Fellowship in 2005, an invited talk at the International Congress of Mathematicians in Hyderabad in 2010 and Bessel Research Award from Humboldt Foundation in 2013. He is the author of the textbook "High dimensional probability. An introduction with applications in Data Science", the winner of 2019 Prose Award for Mathematics.
For more information about this speaker, please visit: https://www.math.uci.edu/~rvershyn/cv.html
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