[Summer 2019 Update!] As of July, I've joined Takeda (Boston, MA) as a statistician working on early-stage clinical trials and exploratory endpoints.

I recently finished a postdoctoral fellowship with Francesca Dominici (Harvard Biostatistics) and Cynthia Rudin (Duke Computer Science), working on machine learning interpretability, and on causal inference for air pollution studies.

I completed PhD at the Johns Hopkins Bloomberg School of Public Health Biostatistics department, under the advisement of Vadim Zipunnikov and Brian Caffo. Among other projects there, I worked on fast computations for bootstrapping principal component analysis, with applications in brain MRI data. You can find a software implementation of this work in the bootSVD R package alt text.

Other research interests of mine include functional data analysis, circadian rhythms, Bayesian statistics, adaptive clinical trials, personalized medicine, machine learning, and the perception of statistical graphics.

In my spare time, I enjoy kitchen projects that involve lots of test batches.