I develop data science and machine learning methods to study two broad areas: inequality and healthcare. For representative publications, please see my papers on fair clinical prediction (New England Journal of Medicine, 2024; PNAS, 2024); inequality in pain (Nature Medicine, 2021); inequality in policing (Nature Human Behaviour, 2020; FAccT, 2023); inequality in COVID-19 (Nature, 2021); and segregation (Nature, 2023). My work has been recognized by best paper awards at KDD and AISTATS, an NSF CAREER award, a Rhodes Scholarship, Hertz Fellowship, Rising Star in EECS, MIT Technology Review 35 Innovators Under 35, Forbes 30 Under 30 in Science, AI2050 Early Career Fellowship, and Samsung AI Researcher of the Year.