Zehang Richard Li

Assistant Professor
Department of Statistics
University of California Santa Cruz

Email: lizehang (at) ucsc.edu
Google Scholar: Zehang Richard Li
Github: @richardli
Twitter: @z_richard_li

Upcoming events

08/2022 JSM, Washington DC
06/2022 WNAR, online
06/2022 SDSS, Pittsburgh, PA
06/2022 EcoSta, online

about     publications     people     teaching     software     vita     misc    

I am an Assistant Professor in the Department of Statistics at University of California Santa Cruz. I am broadly interested in statistical methods and tools to address scientific questions in demography, epidemiology, and global health. Currently I work on latent variable modeling in messy, high-dimensional data, space-time models, causal inference, and applications in health data science.

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

Some Current Projects
Verbal Autopsy: probabilistic framework to infer cause-of-death assignments and population-level distribution from noisy high-dimensional survey data.
Papers: arXiv'21a, arXiv'21b, BA'20, AOAS'20, 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'21, arXiv'18
Small-Area Estimation using complex surveys. Press release of our work with UN IGME on estimating subnational under-five mortality rates.
Papers: arXiv'21 DHS'21, Vignette'20, PLoS'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
COVID-19: model-based projections; prevalence estimation; and assessing the impact on population mortality.
Papers: SciReports'21, PNAS'21