I am currently a Stein fellow in the Statistics Department at Stanford. You can see a current list of my papers here or on my arXiv page. My research interests lie at the interface of statistics and (very) applied probability. A few main themes are:
- Scalable Bayesian computation
- Computational complexity of MCMC
- Mixture models, particularly for contingency tables and categorical data
- Point processes, with applications in multivariate extreme value theory and phylodynamics
- Applied projects in algorithmic fairness, population estimation, and A/B testing
For specific papers, see my arXiv author page.
I am a Ph.D. alum of the Department of Statistical Science at Duke and an alum of Amherst College. My CV is available for download here. 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. From 2005 to 2006, I was a member of the Cox lab at UCSF, where I studied Mycobacterium tuberculosis pathogenesis. From 2006 through 2010, I was 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.