People

Lingyao Li

Assistant Professor, College of Information Science, University of Arizona
Director, Sociotechnical AI Lab (SAIL)

Dr. Lingyao Li is an Assistant Professor in the College of Information Science at the University of Arizona. He holds a Ph.D. in Civil and Environmental Engineering from the University of Maryland, College Park, where he developed a passion for using crowdsourced data and NLP to study how communities respond to events and policies. He then completed postdoctoral research at the University of Michigan's School of Information, deepening his expertise in computational social science, social computing, HCI, and AI. Prior to joining the University of Arizona, he was an Assistant Professor at the University of South Florida. He leverages this interdisciplinary training to bridge technical AI and real-world impact, building models that are not just capable but useful to the communities they serve.

His current research centers on LLMs and AI agents and their downstream applications in healthcare and the urban environment. His work has appeared at top-tier venues including AAAI, ACL, EMNLP, CHI, WWW, AMIA, and ICWSM, and in leading journals such as ACM TIST, ACM TWEB, IEEE JBHI, IEEE T-ASE, JBI, Computers Environment & Urban Systems, Sustainable Cities & Society, International Journal of Information Management, Computers & Education, Communications Medicine. He also serves the community as a reviewer for premier venues including ACL, ICLR, EMNLP, WWW, AAAI, Science Advances, Nature Communications, npj Digital Medicine, and JAMIA, and is a member of AAAI, ACM, and AMIA.

Zhaoqian Xue

PhD Student, College of Information Science, University of Arizona

Zhaoqian Xue is a PhD student in Information at the University of Arizona's College of Information Science, advised by Dr. Lingyao Li. He received his BSc in Information Management and Information Systems from the University of Liverpool and his MS in Data Science and Analytics from Georgetown University. Before joining the University of Arizona, he worked as a research assistant at the Perelman School of Medicine at the University of Pennsylvania. His research focuses on developing and applying AI methods to advance health and medicine. His work has been published in leading venues, including IEEE JBHI, ACM CHI, and AMIA.