I bring statistical rigor to every stage of clinical AI.

Building, deploying, & evaluating impact.

Current

Co-founder & Chief Scientific Officer, Delfina Care
Based in New York City

I lead the full lifecycle of clinical AI for our Delfina Care pregnancy platform. My team’s technical work spans building data infrastructure for health data integration, developing risk prediction models, conducting implementation research, and using quasi-experimental methods to evaluate impact. Our platform has reached over 30,000 patients.

Context

Fellow, Harvard Data Science Initiative (2019-2022)
Biostatistics PhD, Harvard University (2019)

I am a biostatistician trained in causal inference and implementation science. Over the past decade, I have worked closely with clinical research and implementation partners to build, deploy, and evaluate complex health interventions. My north star is measurable improvement in patient health.