Soumik Pal

Soumik Pal is a Professor in the Department of Mathematics at the University of Washington, with adjunct appointments in Applied Mathematics and Statistics. His research focuses on probability theory, particularly interacting Brownian particle systems, random graphs, random matrices, and optimal transport. He leads the Kantorovich Initiative, an interdisciplinary research effort funded by PIMS and NSF, advancing applications of optimal transport in data science.

• NSF grants DMS-2052239 and DMS-2134012 (Scale Math of Deep Learning)
• NSF Infrastructure grant DMS-2133244 supporting the Kantorovich Initiative

His recent work bridges optimal transport with gradient flows, Schrödinger bridges, and graphons. He advises PhD students in probability and stochastic models, with former advisees including Tobias Johnson and Andrey Sarantsev. He serves as Associate Editor for journals like Stochastic Models and Electronic Journal of Probability.