Amin Adibi

Amin Adibi is a PhD candidate at the University of British Columbia working on algorithmic fairness in clinical prediction. His doctoral research examines the movement to remove race and ethnicity from clinical algorithms, with particular attention to how well-intentioned reforms can recreate harm through methodological blind spots. He is a senior collaborator on the Global Burden of Disease Study and serves on the advisory committee of the Global Lung Function Initiative. Prior to his PhD, he spent a decade working directly with clinicians to develop, evaluate, and deploy clinical prediction models. As a UBC Public Scholar, he works closely with patient partners to bring nuance to public discussions about algorithmic bias in medicine and advocates for rigorous assessment of AI models as they become increasingly prevalent in clinical care. His work has appeared in leading clinical journals including JAMA, and he has served as area chair and reviewer for MLHC, ML4H, NeurIPS, GenAI4Health, and related venues.