Zehang Richard Li

Postdoc Associate
Department of Biostatistics
Yale University

Email: zehang.li (at) yale.edu
Google Scholar: Zehang Richard Li
Github: @richardli
Twitter: @zrichardli


12/2019 ICSA, Hangzhou
08/2019 CDC, Lisbon
07/2019 JSM, Denver
07/2019 COMSA, Baltimore
07/2019 EAC-ISBA, Kobe
06/2019 ICML, Long Beach
05/2019 NESS, Hartford
04/2019 UN IGME workshop, Jordan

about     publications     teaching     software     vita     misc    

I am currently a postdoctoral researcher working with Forrest Crawford in the Department of Biostatistics at Yale School of Public Health. I obtained my Ph.D. from the Department of Statistics from University of Washington, advised by Tyler McCormick.

I am broadly interested in developing statistical (usually Bayesian) tools to practical problems in demography, epidemiology, and public health. I am particularly interested in how to reliably characterize complex dependence structures in noisy high-dimensional data.

Some of my substantive areas of interest include: verbal autopsy, child mortality, and infectious disease dynamics in space and time. I also spend a lot of time in writing (usually R) software and helping people use them.

Some Current Projects
Verbal Autopsy: probabilistic framework to infer cause-of-death assignments and population-level distribution from noisy high-dimensional survey data.
Papers: Preprint'19, AOAS'19, JASA'16
openVA: a collection of open-sourced tools that implements a standardized pipeline to process and code verbal autopsy data using multiple algorithms.
Papers: Vignette'19, Preprint'18
Small-Area Estimation of under-five mortality rates and other demographic and health indicators at sub-national levels using complex surveys.
Papers: PLoS'19, Vignette'19
Spike-and-slab priors for Gaussian, copula, and joint graphical models that allow fast posterior exploration of graph structures with less bias.
Papers: ICML'19, JCGS'19