About

I am a fourth year PhD candidate in the Department of Statistical Science at Duke University, working with Jason Xu. Broadly speaking, I create methods for conducting Bayesian inference where constraints impose structure on unknown parameters, and develop efficient Markov Chain Monte Carlo algorithms samplers for such problems.

Prior to Duke, I completed my MS in the Department of Statistics at The University of Chicago, where I was advised by Lek-Heng Lim. I spent a few years before graduate school consulting in the financial services sector.