Greg Pavliotis

Greg Pavliotis is a Professor of Applied Mathematics at the Department of Mathematics, Imperial College London. His research focuses on stochastic processes, nonequilibrium statistical mechanics, and homogenization theory. He develops analytical, computational, and statistical methods for multiscale systems. His work includes inference/control for multiscale systems, computational techniques for transport coefficients, and sampling methods in molecular dynamics.

• Position: Professor of Applied Mathematics
• Affiliations: Applied Mathematics and Mathematical Physics, Dynamical Systems, Fluid Dynamics, Stochastic Analysis

Research interests span stochastic differential equations, kinetic theory, and high-dimensional sampling. He contributes to both theoretical advancements and practical computational tools for complex systems analysis.

No specific articles were listed in the provided text. His research trends emphasize multiscale analysis, statistical mechanics applications, and computational methodology development.

No awards or grants were explicitly mentioned in the text. His professional activities include leading research projects and maintaining active affiliations across multiple interdisciplinary centers at Imperial College.