I am currently a fifth year PhD student in the Department of Statistics at the University of Washington, working under the supervision of Dr. Tyler McCormick. I was a research intern at Microsoft Research during summer 2016.
I am broadly interested in Bayesian methods for large and noisy data from the field of demography and other social science domains. My current research focuses mainly on characterizing dependence structures using Bayesian graphical models while accounting for different types of informative prior information.
Much of my work focuses on applications to improve our understandings of the basic health indicators in the developing world.
Latest updates: see CV
Probabilistic Cause-of-death Assignment using Verbal Autopsy A Bayesian framework to flexibly quantify the uncertainties in the noisy data from multiple sources in verbal autopsy analysis. Joint work with Tyler McCormick (UW), Sam Clark (OSU), Clara Calvert (LSHTM), and colleagues at HDSS sites.
openVA: A Comprehensive R package for VA Analysis openVA provides a wrapper class for a suite of VA packages: InSilicoVA, InterVA4, Tariff and upcoming NBC package. It implements all the major VA algorithms currently been used, and provides simple syntax to analyze, report, and visualize VA data. Joint work with Tyler McCormick (UW) and Sam Clark (OSU).