- Markov chain Monte Carlo and scalable Bayesian computation
- High dimensional statistics; and
- Algorithmic fairness
I also do a lot of applied/methodological work, especially in
I am a Ph.D. alumnus of the Department of Statistical Science at Duke and an alum of Amherst College. I am a statistical consultant for HRDAG and have been a data science advisor/consultant for DataPad, eBay, and Treasure Data. I have also collaborated with MaxPoint Interactive.
Prior to graduate school, I worked in research laboratories at Fred Hutchinson Cancer Research Center, where I studied a variety of problems in cell biology and signal transduction using Drosophila Melanogaster as a model organism, and at UCSF, where I studied Mycobacterium tuberculosis pathogenesis. I was subsequently a consultant at NERA Economic Consulting, where I was responsible for constructing econometric/statistical models, risk analytics, and served as a project manager on many engagements.
I spent most of 2011 living in Rio de Janeiro, Brazil and traveling in South America and Europe.