About me

I am currently an assistant professor at Cornell in the Department of Statistics and Data Science. Prior to Cornell, I was a principal researcher (post-doc) at the University of Chicago’s Booth School of Business and I completed my PhD in Statistics at the University of Washington.

I enjoy thinking about problems where the goal is to discover interpretable structure which underlies the data generating process. This includes problems in the areas of causal discovery, graphical models, and mixed membership models. In many cases, the methods are tailored for the high-dimensional setting where the number of variables considered may be large when compared to the number of observed samples.

I received my undergraduate degree in both applied math and economics at Rice University, and I worked as a management consultant for two years before embarking on my PhD studies.