Research

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.

Research Interests

Probability and Stochastic Processes

Mathematics of Data Science

Applied Probability

Background

Education

Ph.D. in Mathematics, Stanford, 2002

M.S. in Mathematics, Stanford, 2000

B.A. in Mathematics, New York University, 1997

College strategic research areas