About Me

Welcome to my website!

I am an Assistant Professor at Johns Hopkins Biostatistics. I use my expertise in Bayesian methods and statistical computing to address challenges posed by the multisite, heterogeneous, and massive datasets common in modern biomedical and public health research.

A key focus of my work is the large-scale analytic of observational data from electronic health records and administrative claims, especially in collaboration with the Observational Health Data Sciences and Informatics (OHDSI) community. I also work on problems motivated by applications in precision medicine, statistical genetics, forensic science, and other fields.

My broader professional activities include co-leading the Bayesian Learning and Spatio-Temporal modeling group (BLAST) at Johns Hopkins and serving as the Secretary of the Bayesian computation section of the International Society of Bayesian Analysis (BayesComp-ISBA).

Outside academia, I am an avid Argentine tango dancer and amateur gastronome, often found dancing and eating my way around the world.