Curriculum Vitae

My research uses computational causal inference to study how policies, institutions, and systems shape health outcomes, and who they leave behind. It spans two areas: developing and applying causal methods for health services and policy research, and addressing algorithmic inequity in health care decision-making. This work builds on graduate research in causal methods for health data, grant-funded research on algorithmic equity, and a prior career in FDA-regulated biopharmaceutical systems engineering.