Bio

I am a fifth-year Ph.D. student in the Department of Statistics at Columbia University. I am co-advised by Andrew Gelman and Cynthia Rush. My research focuses on the theory and methodology of Bayesian statistics.

Recently, I have been interested in understanding the properties of high-dimensional models and how to overcome the challenges they pose for tasks of model interpretation, particularly parameter identification and predictive evaluation. This theoretical work has also led to a number of concrete methodological proposals designed to increase the (statistical and interpretive) power of model diagnostics. Details of these projects can be found under reseach, and interactive visual explanations of some of these ideas can be found under interactives.

Before graduate school, I studied mathematics at Brown University, and before that I was a high school student in the suburbs of Milwaukee, Wisconsin. Outside of research, I enjoy practicing bass and traveling around New York City in search of new teas to try.