Young Ji Lee

Dr. Lee specializes in health informatics, with a focus on enhancing the structure and delivery of health information through AI systems tailored to individual needs. Most recently, she served as the Principal Investigator of an NIH-funded project (R01LM013038) that developed HELPeR—Health E-Librarian with Personalized Recommendations, a hybrid recommender system designed to support ovarian cancer patients in navigating online health resources. The system combines recommender algorithms and personalized user modeling to increase the use of relevant information and support patient self-management. Previously, she led a pilot project within the P2aTH initiative (PCORI CDRN-1306-04912), embedding patient-centered visualizations to explore how personalized digital tools can support decision-making across therapeutic options. Dr. Lee's current research expands into explainable AI (XAI) in healthcare, with particular interest in how transparency and adaptability influence user trust, engagement, and system adoption.