Assistant Professor in the Department of Statistics at the University of Washington
Research lies at the intersection of statistics and machine learning
Current focus on distributional learning using generative models to estimate complex probability distributions
Develops methods for statistical problems involving distribution estimation, including causal inference, extrapolation, robustness to distributional shifts, dimension reduction, and diffusion models
Interested in theoretical foundations and real-world applications, such as emulation of physical climate models