Jingjing Li is an Associate Professor of IT and Innovation at the McIntire School of Commerce at the University of Virginia. She is the Academic Director of the M.S. in Business Analytics Program, which is jointly offered by the McIntire School and the Darden School of Business. She also serves as Associate Director of McIntire’s Center for Business Analytics. 

Her research focuses on the design, development, and management of artificial intelligence and data analytics systems, with applications in healthcare, marketing, platforms, and public policy. Her work appears in prestigious journals, including MIS Quarterly; Information Systems Research; Journal of Marketing; Strategic Management Journal; Journal of Management Information Systems; Review of Economics and Statistics; ACM Transactions on Information Systems; Harvard Business Review; and npj Digital Medicine. She has received several accolades for her research, including the INFORMS Design Science Award and Best Paper Awards from CIST, WITS, and the INFORMS Data Science Workshop. Her research was also a finalist for the Shelby D. Hunt/Harold H. Maynard Award at the Journal of Marketing in 2020. Her research has been funded by the National Science Foundation, Amazon, Google, Microsoft, the 4-VA initiative, the Jefferson Trust, UVA’s TYDE program and Data Analytics Center, and the LaCross AI Institute.

Professor Li currently serves as an Associate Editor for Information Systems Research. She previously served as an Associate Editor for MIS Quarterly (2022-2025), where she received the Outstanding Associate Editor Award in 2024, and as a member of the editorial review board of the Journal of the Association for Information Systems (2024-2025). Her professional service includes serving as Vice President of the INFORMS Information Systems Society, Board Member of the Workshop on Information Technologies and Systems (WITS), Industry Liaison for the INFORMS College on AI, and Secretary/Treasurer for AIS SIGTech. She has co-chaired several flagship events in the information systems field, including WITS 2024 (where she received the Outstanding Service Award), the INFORMS Data Science Workshop 2022-2023, and the INFORMS ISS Doctoral Consortium 2025, advancing rigorous scholarship and industry–academic collaboration.

Professor Li teaches AI and analytics across undergraduate, graduate, and executive programs. She was named a Poets&Quants Best Undergraduate Professor in 2023, received the Annual Faculty Recognition Award by The Order of Claw and Dagger at the University of Virginia in 2024, and previously received the Teaching Excellence Award at the University of Colorado Boulder in 2012. Before joining academia, she was a scientist at Microsoft, where she built large-scale machine learning and AI solutions for core products and services. She is a member of the Association for Information Systems and INFORMS.