Konstantin Matetski

Konstantin Matetski is an Assistant Professor in the Department of Mathematics at Michigan State University (MSU). His research focuses on stochastic partial differential equations (SPDEs), integrable probability, and the KPZ universality class. He holds a Ph.D. in Mathematics from the University of Warwick (2016), advised by Martin Hairer, and a Master's from the University of Bonn (2012), advised by Anton Bovier. Prior to MSU, he served as an Ritt Assistant Professor at Columbia University (2018-2022) and a postdoctoral fellow at the University of Toronto (2016-2018).

His work combines techniques from regularity structures, rough paths, and integrable systems to study non-equilibrium statistical mechanics and stochastic growth models. Recent publications include groundbreaking studies on the KPZ fixed point, TASEP dynamics, and stochastic PDE limits of particle systems. His research has been disseminated through top journals like Acta Mathematica, Probability Theory and Related Fields, and Annals of Probability.

Teaching responsibilities include Complex Analysis (MTH-829) and Differential Equations (MTH-235) in Spring 2025. He actively contributes to academic communities via Google Scholar, ORCID, and arXiv profiles. No formal awards are explicitly listed, though his contributions to KPZ universality research are widely recognized in the field.