Kejia Hu

Kejia Hu is a scholar in operations management, currently a Brownlee O. Currey Jr. Dean's Faculty Fellow at Vanderbilt University's Owen Graduate School of Management. She focuses on unlocking business value from data. Hu's domain expertise lies in service operations, artificial intelligence, and business analytics. She has worked with industrial partners, including L'Oreal, Marriott International, Dell, Alibaba, and Vanderbilt University Medical Center, with research published in journals that include Manufacturing & Service Operations Management, Production and Operations Management, Applied Energy, and Energy Policy. With a Ph.D. from Kellogg School of Management at Northwestern University, an M.S. in Statistics from the University of California - Davis, and a B.S. in Statistics from Fudan University, Hu specializes in causal inference, statistical forecasting, and stochastic modeling. Hu frequently serves as session chairs and track chairs of service operations, sustainability operations, and emerging business models at INFORMS and POMS annual conferences. Her research has been recognized with several Best Paper Awards at INFORMS, POMS, and MSOM. Hu's case Jointown Pharmaceutical Group is named one of the Top 100 MBA Case Studies in China. Hu also serves at the Cornell Institute for Healthy Futures, on the Member Engagement Committee at POMS College of Service Operations, and on Vanderbilt Provost's WAVE Council. Previously, she worked at Lawrence Berkeley National Lab, Morgan Stanley, and the Yiwu Government --the world's largest wholesale market.

Teaching

Kejia teaches Operations Management and Service Management.

Education

• Ph.D., Operations Management, Northwestern University
• MS., Statistics, University of California, Davis
• B.S., Statistics, School of Management, Fudan University