Published extensively across various fields including but not limited to stochastic partial differential equations, stochastic dynamical systems, fluid dynamics, and quantifying gerrymandering.
Research Experience
Serves as the Kimberly J. Jenkins Distinguished University Professor of New Technologies. Has mentored numerous graduate students, postdocs, and undergraduate researchers.
Education
Earned a BS in Applied Mathematics with a concentration in physics from Yale University; obtained a PhD in Applied and Computational Mathematics from Princeton University under the supervision of Yakov Sinai in 1998.
Background
Research interests include stochastic dynamical systems, stochastic partial differential equations, fluid dynamics, quantifying gerrymandering, mathematical biology, stochastic numerics, MCMC and random algorithms, Bayesian statistics and machine learning, probability and statistics on stratified spaces.
Miscellany
Grew up in Charlotte, attended the NC School of Science and Mathematics for high school. Spent a year at ENS Lyon studying nonlinear and statistical physics.