Research: Our group is primarily focused on the design, analysis, and application of stochastic algorithms and models. Our work draws on tools from probability theory, the theory of partial differential equations, and numerical analysis. A significant portion of research in the group is organized around long term collaborations with applications experts in areas such as biophysics, computational chemistry, and weather and climate science.

Keywords: Monte Carlo methods, multiscale modeling and simulation, randomized algorithms, rare event analysis and simulation, statistical and machine learning for dynamical systems