Benjamin Gess

Benjamin Gess is a Professor of Mathematics at the Technische Universität Berlin (since 2024) and a Research Group Leader at the Max Planck Institute for Mathematics in the Sciences (MIS) in Leipzig. His primary research focuses on stochastic partial differential equations (SPDEs), nonlinear PDEs, stochastic dynamics, and their applications in machine learning, fluid dynamics, and interacting particle systems. He holds a PhD from the University of Bielefeld (2011) and has held academic positions at institutions including the University of Chicago, TU Berlin, and Bielefeld University. Gess leads the ERC Consolidator Grant “Fluco” (since 2023), exploring fluctuations in conservative SPDEs and their continuum models.

Key educational milestones include studies at the University of Bonn (2004–2007) and the University of Warwick (2007–2008), where he earned an MSc in Mathematics with distinction. His research emphasizes regularity theory, stochastic processes, and large deviations, with contributions to regularization by noise and synchronization phenomena in SPDEs.

Recent work includes stochastic kinetic models of chemotaxis, conservative SPDEs as limits of SGD, and large deviations in porous medium equations. His articles bridge theoretical analysis with applications, such as machine learning dynamics and fluid mechanics. Gess is an associate editor for journals like Probability Theory and Related Fields and Stochastic Processes and their Applications.

His ERC-funded research investigates universal fluctuating models in conservative systems, aiming to uncover universal behaviors in complex stochastic systems. Teaching focuses on stochastic analysis, machine learning mathematics, and advanced PDE theory.