Qian Li

Dr. Li is a Research Assistant Professor in the Department of Health Outcomes and Biomedical Informatics at the University of Florida. He is a biomedical informatics and data science researcher who uses real-world clinical data, including electronic health records and administrative claims, to improve the measurement, prediction, and evaluation of healthcare quality and outcomes.

His research focuses on developing and applying artificial intelligence, machine learning, causal inference, and observational study methods to identify care gaps and generate actionable real-world evidence. His current work emphasizes adolescent and maternal mental health, including measuring care pathways, identifying patients at risk for delayed or inadequate care, and evaluating real-world treatment and care-delivery strategies.