My research centers on computational causal inference for health services, policy, and equity, across two key areas: (1) how health policy and delivery systems shape access to care for low-income and underserved populations, and (2) how automated decision-making in healthcare produces and entrenches disparities. This work builds on graduate research in causal methods for health data, a grant-funded study of algorithmic equity, and a prior career in FDA-regulated biopharmaceutical systems engineering.









SAS