Dr. Mathew Kiang

Biography

Mathew Kiang is an assistant professor in the Department of Epidemiology and Population Health at Stanford University. His research lies at the intersection of computational epidemiology and social epidemiology. Methodologically, his work revolves around combining disparate data sources in epidemiologically meaningful ways, utilizing individual-level non-health data, traditional health data, and third-party data. He employs a variety of methods including joint Bayesian spatial models, traditional epidemiologic models, dynamical models, microsimulation, and demographic analysis. Substantively, he focuses on socioeconomic and racial/ethnic inequities, examining topics such as inequities in COVID-19 vaccine distribution and cause-specific excess mortality. He is involved in NIDA-funded research aimed at improving treatment for opioid use disorder among structurally disadvantaged groups and predicting surges in opioid-related mortality using novel data sources.

Research Interests