Yevgeniy Kovchegov works in the field of probability and stochastic processes. His research interests include mathematics of data science, mathematical models of statistical mechanics, models of mathematical biology, stochastic self-similarity, mathematical statistics, interacting particle systems, and quantum computation. Kovchegov's work is centered around the following topics: random self-similar trees; stochastic coupling method; orthogonal polynomials in stochastic processes, probability and statistics; mixing times; quantum walks and quantum computation; chaos and fractals; applications of probability theory in biological systems, geomorphology, seismology, computer and wireless networks, network coding, and environmental sciences.
Probability and Stochastic Processes
Mathematics of Data Science
Ph.D. in Mathematics, Stanford, 2002
M.S. in Mathematics, Stanford, 2000
B.A. in Mathematics, New York University, 1997