Associate Professor of Operations, Information & Technology
- Operations Research
- AI and Data Science Strategy
- Experimentation and Causal Inference
- AI Innovation in Logistics and Supply Chains
- Machine Learning
Professor Kuang Xu (Chinese: 许匡) is an Associate Professor at Stanford Graduate School of Business. He is an expert in Operations Research, AI and Data Science innovation, supply chains and logistics, and data-driven decision-making. He is the co-creator of AI Strategy, the first course at Stanford that focuses on the strategy, management and entrepreneurship principles of AI and Data Science.
The core of Professor Kuang Xu’s research focuses on decision-making under uncertainty, leveraging tools from operations research, statistics and machine learning. His work has been published in leading academic journals including Operations Research and Management Science, and has received a number of prestigious awards, including the George E. Nicholson Prize from the Institute for Operations Research and the Management Sciences (INFORMS), the Best Paper Award as well as Outstanding Student Paper Award from the Association for Computing Machinery (ACM), Special Interest Group on Measurement and Evaluation (SIGMETRICS), and an ACM SIGMETRICS Rising Star Research Award. He serves as an Associate Editor for Management Science and Operations Research in Data Science and Stochastic Modeling. His research and writing have been featured in a variety of media outlets including NPR, PBS, NBC and USA Today.
Professor Kuang Xu advises companies and investment funds on how to build up core AI and Data Science capabilities and strategic moats. He has served as the Chief Data Science Advisor for Shipt Inc., Senior Advisor to Uber Inc., and scientific advisors to a number of startups as well as venture capital and private equity funds.
Professor Kuang Xu received his Ph.D. degree in Electrical Engineering and Computer Science from MIT (2019), and the Bachelor of Science degree from the University of Illinois at Urbana-Champaign (2009).
- PhD, Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2014
- SM, Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2011
- BS, Electrical Engineering, University of Illinois at Urbana-Champaign, 2009
Awards and Honors
- Botha-Chan Faculty Scholar, 2022–23
- Botha-Chan Faculty Scholar, 2021–22
- Business School Trust Faculty Scholar, 2019–20
- Business School Trust Faculty Scholar, 2018–19
- Jin Au Kong Award for Best PhD Thesis in Electrical Engineering, MIT, 2014
- Dimitris N. Chorafas Foundation award for outstanding PhD research, 2014
- Best Paper Award, as well as a Kenneth C. Sevcik Outstanding Student Paper Award, from ACM SIGMETRICS, 2013
- First-place winner of the INFORMS George E. Nicholson Student Paper Competition, 2011
- Ernst A. Guillemin Thesis Award for Best SM Thesis in Electrical Engineering, MIT, 2011
Executive Education & Other Non-Degree Programs
Stanford University Affiliations
Service to the Profession
- Management Science, Operations Research