About Me

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I am an Assistant Professor at Johns Hopkins Biostatistics, where I co-lead the Bayesian Learning and Spatio-Temporal modeling group (BLAST Group) as well as the Individualized Health (inHealth) and Observational Health Data Sciences and Informatics (OHDSI) Lab (inHealth/OHDSI Lab).

My work centers around developing statistical and computational machinery to extract insights from large, complex data for real-world impacts. I am particularly interested in use of observational health data to improve clinical decision-making. I collaborate with clinicians from Johns Hopkins inHealth Precision Medicine Initiative towards the goal of delivering a right intervention for a right person at a right time. And my involvement in the broader OHDSI community provides opportunities to bring together data from multiple institutions to investigate clinical questions beyond the scope of any single data source. Besides observational health analytics, I also work on several statistical (phylo-)genetics applications. My expertise includes Bayesian methods, large-scale statistical computing, as well as statistical software development.

In my free time, I enjoy Argentinian tango, traveling, culinary explorations, photography, among many other things.