My current research focuses on developing methods to produce evidence for policymaking in settings where data are systematically missing. As a postdoctoral scholar at the Haas School of Business at the University of California, Berkeley, I work on interdisciplinary projects spanning health economics, sociology, and data science. In my PhD dissertation I examined how data can be leveraged to achieve efficiency and fairness goals in individual health insurance markets, and I studied using health insurance claims data to identify cancer stage.
I graduated from the Health Policy doctoral program (Evaluative Science & Statistics concentration) at Harvard University in May 2019. I also hold an MSc. in Health, Population, and Society from the London School of Economics, and an AB in Political Economy from Georgetown University. My doctoral training was supported by an NIMH training fellowship, a Harvard University Merit Fellowship, and the Harvard Data Science Initiative Competitive Research Fund.