I received my specialist degree (B.S.+M.S. equivalent) in Mathematics at Moscow State University under supervision of Professor Vladimir Bogachev in 2012.
Here you can find my CV - version November, 2017
You also can read about my
I like using high-dimensional probability, geometric analysis and machine learning to study some interesting properties of random matrices, as well as other instances of large high-dimensional data.
My PhD research is concentrated around non-asymptotic random matrix theory.
I like studying spectral structure of large, but finite random matrices. One of the challenging cases is when matrix entries distributions are heavy-tailed (comparing to the standard gaussian case). We have investigated typical norm of inverse of such matrices:
and regularization properties of their operator norms:
Applied research: in Summer 2017 I worked as an intern at Scalable Solvers Group, Lawrence Berkeley National Lab. Investigated machine learning applications of STRUMPACK linear solver. A conference paper is submitted.
Please see the Talks page for (almost) complete list of my public presentations, usually with abstracts and sometimes with relevant slides.Quick links:
I do not teach this semester.
Earlier at UofMichigan I worked as primary instructor for Math 115 (Calculus 1); led Matlab labs and problem solving recitations for Math 216 (Differential Equations) and was a TA for Math 623 (Computational Finance).
Back in Moscow, I worked as a calculus instructor for high school students at 57-th math school (2008-2012) and as an algebra teacher at Kolmogorov math and physics high school (2012-2013).
In addition to doing research and explaining math, I enjoy coding and playing with data. Back in Moscow, I completed two year CS program in Yandex Data Analysis school, and it was such a great time. Nowadays I infrequently participate in online contests alone or with friends.
My other interests include all that I find beautiful or challenging. For example, music, art, cats, cities, mountains, puzzles... Finally, I love talking to people, sharing experiences and drinking coffee - dark roast preferrable.
“Poirot,” I said. “I have been thinking.”
“An admirable exercise my friend. Continue it.”
(Agatha Christie, Peril at End House)