Program Director, MSBA, Information Systems & Analytics
Tao Li is the director of MS Program in Business Analytics and an associate professor of Information Systems & Analytics in the Leavey School of Business at Santa Clara University. He joined the Business School in Fall 2012 as an assistant professor after graduating with his Ph.D. from The University of Texas at Dallas.
Professor Li’s research interests include sharing economy, crowdfunding, strategic sourcing, supply chain coordination, operations-marketing interface, sustainable operations management, and behavioral operations management. His scholarship has appeared in leading academic journals such as Production and Operations Management, Manufacturing & Service Operations Management, European Journal of Operational Research. His scholarship has been supported by the Santa Clara University Research Grant and the Leavey Research Grant. He is the recipient of the Leavey School of Business Extraordinary Research Award multiple times.
Professor Li teaches Machine Learning with Python, Data Analytics with Python, and Prescriptive Analytics for MS programs in Business Analytics, Information Systems, and Finance. He also teaches Business Analytics, Predictive Analytics, Computer Based Decision Models, Operations Management, and Analytical Decision Making for the Business School's accelerated and evening MBA program and undergraduate program. He is the recipient of the ACE (Accelerated Cooperative Education Leadership Program) Outstanding Faculty Award in 2016 and 2019, and the Leavey School of Business Extraordinary Teaching Award multiple times.
Professor Li supervised projects with companies such as Amazon Web Services (AWS), Adobe, Rubrik, Cloudera, Nuveen, and Atollogy.
Professor Li serves as Senior Editor for Production and Operations Management, Associate Editor for Transportation Research Part E: Logistics and Transportation Review, and Guest Associate Editor for Naval Research Logistics. He has been a regular reviewer for top journals including Management Science, Operations Research, and Manufacturing & Service Operations Management.