Dr. Yikuan Li is an Assistant Professor in the Department of Health Administration and Policy. He earned his PhD in Health and Biomedical Informatics from the Feinberg School of Medicine at Northwestern University, where his thesis research on heart failure prediction was supported by the American Heart Association Predoctoral Fellowship. His research interests include leveraging multimodal machine learning to build clinical predictive models, applying large language models to advance health interoperability, and using reinforcement learning to optimize health policy and decision-making.

Dr. Li has published in leading informatics journals such as JAMIA, npj Digital Medicine, and NEJM AI, and has presented his work at venues including the AMIA Annual Symposium, the AHA Scientific Sessions, ICLR, and IJCAI. He is also the recipient of the AMIA LEAD Scholar award in 2025.