The Statistics Seminar speaker for Wednesday, October 23, 2019, is Mikhail Belkin, a professor in the Department of Computer Science and Engineering and the Department of Statistics at the Ohio State University.
He received his PhD from the University of Chicago in Mathematics in 2003. His research focuses on understanding the fundamental structure in data, the principles of recovering these structures and their computational, mathematical and statistical properties.
This understanding, in turn, leads to algorithms for dealing with real-world data. His work includes algorithms such as Laplacian Eigenmaps and Manifold Regularization which use ideas of classical differential geometry for analyzing non-linear high-dimensional data and have been widely used in applications. Prof. Belkin is a recipient of an NSF Career Award and a number of best paper and other awards.
He has served on the editorial boards of the Journal of Machine Learning Research and IEEE PAMI.