Jingjing Li

She is a Shannon Center Mid-Career Fellow (2026-2029) and held the Andersen Alumni Associate Professorship from 2023 to 2026. She is the Academic Co-Director of the M.S. in Business Analytics Program, jointly offered by the McIntire School and the Darden School of Business, and 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 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, and Harvard Business Review. She has received the INFORMS Design Science Award and Best Paper Awards from the Conference on Information Systems and Technology (CIST), the Workshop on Information Technologies and Systems (WITS), and the INFORMS Data Science Workshop. Her research has been funded by the National Science Foundation, Amazon, Google, Microsoft, the 4-VA initiative, and the Jefferson Trust.

Professor Li is an Associate Editor for MIS Quarterly, where she received the Outstanding Associate Editor Award in 2024, and serves on the Journal of the Association for Information Systems Editorial Review Board. She has co-chaired flagship events in her field, including WITS 2024, the INFORMS Data Science Workshop 2023, and the INFORMS ISS Doctoral Consortium 2025. She teaches AI and analytics across undergraduate, graduate, and executive programs, and was named a Poets & Quants Best Undergraduate Professor in 2023. Before joining academia, she was a scientist at Microsoft, where she built large-scale machine learning and AI solutions for core products and services.