Egor Kosov studied at the Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, where he obtained his PhD with the thesis "Polynomial images and shifts of measures on linear spaces". Before joining the CRM, he held positions as an assistant at the Department of Theory of Functions and Functional Analysis at the Lomonosov Moscow State University, as an assistant professor at the Faculty of Computer Science at the HSE University, and as a senior research fellow at the Department of Function Theory at the Steklov Mathematical Institute. He has worked on problems related to the discretization of integral norms, and Nikolskii-Besov regularity properties of distributions.

He joined the Harmonic Analysis and Approximation Theory group to work with Sergey Tikhonov as a postdoctoral researcher.

1. F. Dai, E. Kosov, V. Temlyakov, Some improved bounds in sampling discretization of integral norms, J. Funct. Anal., 2023, 285:4, 109951

2. B.S. Kashin, E.D. Kosov, I.V. Limonova, V.N. Temlyakov, Sampling discretization and related problems, J. Complexity, 2022, 71, 101653.

3. E.D. Kosov, Regularity of linear and polynomial images of Skorohod differentiable measures, Adv. Math., 2022, 397, 108193

4. E.D. Kosov, Marcinkiewicz-type discretization of L^p-norms under the Nikolskii-type inequality assumption, J. Math. Anal. Appl., 2021, 504:1, 125358.

5. E.D. Kosov, Total variation distance estimates via L^2-norm for polynomials in log-concave random vectors, Int. Math. Res. Not., 2021, 2021:21, 16492–16508.

6. E.D. Kosov, Fractional smoothness of images of logarithmically concave measures under polynomials, J. Math. Anal. Appl., 2018, 462:1, 390–406.

7.  V.I. Bogachev, E.D. Kosov, G.I. Zelenov, Fractional smoothness of distributions of polynomials and a fractional analog of the Hardy–Landau–Littlewood inequality, Trans. Amer. Math. Soc., 2018, 370, 4401–4432.