Zehang Richard Li

PhD student
Department of Statistics
University of Washington

Padelford Hall C14-G
Seattle, WA 98195
Phone: +1 (206) 902 7951
Email: lizehang (at) uw.edu

Github: @richardli
Google Scholar: Zehang Richard Li


01/2017 VA workshop, Columbus
08/2016 Presentation at JSM, Chicago
03/2016 Skype presentation at WHO VA Working Group meeting, Geneva
03/2016 openVA package released to CRAN

about     publications     vita     misc    

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
Instructor, STAT 394 Probability I, summer 2017
TA, STAT 435 Introduction to Statistical Machine Learning, spring 2017
TA, STAT 390 Statistical Methods in Engineering and Science, winter 2017

Selected Projects
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).