Associate Research Professor in the Department of Mental Health at Johns Hopkins Bloomberg School of Public Health
Member of the Stuart lab
Research focuses on causal inference, specifically reasoning and techniques for learning causal effects from observational data
Interested in handling data limitations (e.g., missing data, measurement error) that complicate standard analyses and in learning complex causal effects
Aims for both rigor and user-friendliness in methodology
Active research topics include: missing data and measurement error, sensitivity analysis, mediation analysis, generalizability/transportability, and treatment effect heterogeneity