Martin Hairer

Martin Hairer is a Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL), Department of Mathematics. His research focuses on probability and partial differential equations. He holds a chair in Probability and Partial Differential Equations at EPFL's SB MATH PROPDE. His office is located at MA B2 497, EPFL, 1015 Lausanne. He is affiliated with the SMA teaching program at EPFL. His website is https://www.hairer.org/, and his EPFL profile page is available at https://people.epfl.ch/martin.hairer?lang=en. He teaches the course Advanced stochastic analysis (MATH-525).

Martin Hairer is a Professor of Mathematics at EPFL and Imperial College London, specializing in probability theory and analysis. His research focuses on stochastic partial differential equations (SPDEs), regularity structures, and the analysis of stochastic processes. He has made significant contributions to the understanding of the KPZ equation, ergodicity in stochastic systems, and the development of tools for analyzing rough paths and stochastic differential equations. His work includes the theory of regularity structures, which provides a framework for solving singular stochastic PDEs, and the study of exponential mixing properties in stochastic PDEs. His research has advanced the understanding of long-time behavior and stability in stochastic systems.