Faculty Profiles

Hu, Kejia
Associate Professor of Operations Management, CEIBS
Dr. Kejia Hu is an Associate Professor of Operations Management at CEIBS. Prior to joining CEIBS, she was a Brownlee O. Currey Jr. Dean's Faculty Fellow and Assistant Professor at Vanderbilt University's Owen Graduate School of Management.
Prof. Hu focuses on unlocking business value from data. Her 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, Prof. Hu specializes in causal inference, statistical forecasting, and stochastic modeling. Prof. 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. Prof. Hu's case Jointown Pharmaceutical Group is named one of the Top 100 MBA Case Studies in China. Prof. 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.
- 2017 Ph.D. Operations Management, Kellogg School of Management at Northwestern University
- 2013 M.S. Statistics, University of California, Davis
- 2011 B.S. Statistics, Fudan University
- Service Operations
- Artificial Intelligence
- Business Analytics
- Management of Service Operations
- Operations Management
- Artificial Intelligence
2023-05-11 How is AI changing the way we work and do business?
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