Areas of Expertise
- Using Bayesian hierarchical and linear mixed models to address problems of causal inference in public health and medicine.
Department: Biostatistics, College of Public Health
COP: Computational Health and Life Sciences, Foundations of Data Science & AI, Responsible Data Science
Interests: Bayesian hierarchical models, linear mixed effects models, clinical trials, causal inference, subgroup analysis, principal stratification, spatial data, infectious disease epidemiology