Bio

I am a post-doctoral researcher at Johns Hopkins School of Public Health in the Department of Mental Health working under Dr. Liz Stuart. I earned my PhD in Quantitative Psychology at the University of North Carolina at Chapel Hill. I earned my BS in Psychology at UC San Diego.

I study statistical methods for causal inference in observational studies, in particular, methods related to adjusting for confounding by measured variables such as propensity score matching and weighting. I am passionate about R programming and have written several R packages, including cobalt and WeightIt. See Software for more details on these packages.