Short Bio
Dr. Kejia Hu is an Associate Professor in Management Science at the Saïd Business School, University of Oxford, and a Governing Body Fellow of Exeter College, Oxford. Before joining Oxford, she was a Brownlee O. Currey Jr. Dean's Faculty Fellow and Assistant Professor in Operations Management at Vanderbilt University's Owen Graduate School of Management. Dr. Hu earned her PhD in Operations Management from the Kellogg School of Management in 2017, after transferring from the University of California, Davis, where she received a MS in Statistics in 2013. She completed her B.S. in Statistics at Fudan University School of Management in 2011.
Dr. Hu's research is driven by the goal of unlocking business value from data through harmonious human-AI collaboration. Her work emphasizes the importance of collective human insight and collaboration in tapping into data's true potential, rather than relying solely on technology. This approach has led to expansive collaborations with Fortune 500 companies and industrial pioneers, producing research that is highly regarded in top-tier academic journals, has won multiple awards, and has been recognized for its transformative impact on education, notably with inclusion in the Poets and Quants "40 Under 40" 2023 list. Her case study on Jointown Pharmaceutical Group is celebrated as one of the Top 100 MBA Case Studies in China.
In addition to her academic role, Dr. Hu serves as an Academic Scholar at the Cornell Institute for Healthy Futures and holds positions on the board of the POMS College of Service Operations (as Board Member) and the INFORMS Service Science section (as Vice Chair). Her career also includes experience at Lawrence Berkeley National Lab, Morgan Stanley, and the Yiwu Government, home to the world's largest wholesale market.
Recently, Dr. Hu has expanded her contributions to the academic community by joining the editorial review board for the Journal of Operations Management and serving as a Senior Editor for the Production and Operations Management journal, specifically within the Department of Service Operations Management. Her outstanding contributions to the field of Service Operations studies have been recognized with a "Rising Star" Award at QUIS, further solidifying her status as a leading figure in the field.
Domain Expertise: Service System Design, Forecasting, Human-Algorithm Interaction
Methodology Expertise: Structural Modelling & Causal Inference, Statistical Forecasting & Machine Learning, Stochastic Modelling
Dr. Hu's research is driven by the goal of unlocking business value from data through harmonious human-AI collaboration. Her work emphasizes the importance of collective human insight and collaboration in tapping into data's true potential, rather than relying solely on technology. This approach has led to expansive collaborations with Fortune 500 companies and industrial pioneers, producing research that is highly regarded in top-tier academic journals, has won multiple awards, and has been recognized for its transformative impact on education, notably with inclusion in the Poets and Quants "40 Under 40" 2023 list. Her case study on Jointown Pharmaceutical Group is celebrated as one of the Top 100 MBA Case Studies in China.
In addition to her academic role, Dr. Hu serves as an Academic Scholar at the Cornell Institute for Healthy Futures and holds positions on the board of the POMS College of Service Operations (as Board Member) and the INFORMS Service Science section (as Vice Chair). Her career also includes experience at Lawrence Berkeley National Lab, Morgan Stanley, and the Yiwu Government, home to the world's largest wholesale market.
Recently, Dr. Hu has expanded her contributions to the academic community by joining the editorial review board for the Journal of Operations Management and serving as a Senior Editor for the Production and Operations Management journal, specifically within the Department of Service Operations Management. Her outstanding contributions to the field of Service Operations studies have been recognized with a "Rising Star" Award at QUIS, further solidifying her status as a leading figure in the field.
Domain Expertise: Service System Design, Forecasting, Human-Algorithm Interaction
Methodology Expertise: Structural Modelling & Causal Inference, Statistical Forecasting & Machine Learning, Stochastic Modelling
Philosophy 1.0: Unlock Business Value from Data
Kejia Hu's “DEFI” approach
Collect Data ==> Launch Exploration ==> Discover Finding ==> Deliver Impacts
Distilling actionable insights from data is an interplay between deep domain understanding and rigorous analytical techniques. The journey involves diligent exploration, astute reflection on findings, and an unwavering focus on both strategic and operational business objectives. This is not merely a singular endeavour; it's an ongoing process that constantly challenges conventional boundaries and forges novel business avenues through data. Dive deeper into tangible applications with our academic contributions at research or industry collaborations at industrial partners.
Philosophy 2.0: Unlock Business Value from Data, Together.
In today's AI landscape, data goes beyond mere digits and codes; it encompasses human insights and synergistic collaborations. Maximum value from AI and analytics emerges when humans actively contribute, not merely as data recipients but as value co-architects. This symbiotic relationship between human and machine forms the bedrock of my endeavours and scholarly pursuits. As we navigate the AI revolution, our compass must be set towards inclusive progress, championing technological advances hand in hand with human betterment. For tangible exemplars of this philosophy, explore our academic outputs at research and industry success stories at industrial partners."
Talks and Interviews
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Kejia Hu's Visual CV
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