Dr. Ying Ding is Bill & Lewis Suit Professor at School of Information, University of Texas at Austin. She co-chairs AI in Health Lab at School of Information and Dell Medical School at UT Austin. She has collaborated widely with researchers in healthcare and drug discovery. Together with her colleague at Dell Medical School, the AI Health Lab aims to build human-centered AI approaches to deliver better health. Her lab is actively developing and applying chatbot to facilitate medical communication and counseling, LLM on drug combination synergy prediction, visual question answer for pathology images, medical annotation for social determinants of health, and LLM hallucination and uncertainty quantification for agentic AI in healthcare. Furthermore, her lab also focuses on developing deep learning method for medical imaging diagnosis , applying Natural Language Processing (NLP) for medical note annotation and summary, utilizing explainable AI and knowledge graph for health risk prediction, and understanding AI fairness in healthcare. She has published 350+ papers, chaired 40+ workshops, and served as a Program Committee member for 280+ international conferences. Her lab is supported by NIH, NSF, and major industry partners.