Research is supported by the National Institutes of Health, Gates Foundation, Vital Strategies, Hellman Fellows Program, UCOP, and UCSC. Supervised students who have successfully passed their PhD candidacy exams and defended their dissertations. Developed several software packages for health data analysis, such as sae4health and surveyPrev.
Research Experience
Assistant Professor in the Department of Statistics at the University of California Santa Cruz. Previously a postdoctoral researcher at Yale School of Public Health, Department of Biostatistics.
Education
Ph.D. from the Department of Statistics at the University of Washington, advised by Tyler McCormick. Postdoctoral researcher at Yale School of Public Health, Department of Biostatistics, working with Forrest Crawford.
Background
Broadly interested in statistical methods to address scientific questions in demography, epidemiology, and global health. Currently working on latent variable modeling with high-dimensional data, space-time models, survey sampling, data integration, and weakly supervised learning. Also focuses on building workflows and pipelines for complex statistical analysis and data-driven decision-making in real-world settings.
Miscellany
Social media: Google Scholar, Github (@richardli), Twitter (@z_richard_li), LinkedIn (Zehang (Richard) Li)