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 2023年快乐十分开奖结果🔸Manufacturing & Service Operations Management, 2023年快乐十分开奖结果🔸Production and Operations Management, Applied Energy, and 2023年快乐十分开奖结果🔸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 2023年快乐十分开奖结果🔸Jointown Pharmaceutical Group is named one of 极速快乐十分20选8开奖结果🔸The top 100 MBA Case Studies in🔸快乐10分玩法说明. 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
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