Scholar
Xu Kuang (许匡)
Google Scholar ID: UZNEAF4AAAAJ
Associate Professor, Stanford Graduate School of Business
Citations & Impact
Citations
853
H-index
16
i10-index
21
Publications
20
Co-authors
0
Resume
Academic Achievements
- His 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 several prestigious awards, including the George E. Nicholson Prize from INFORMS, Best Paper Award and Outstanding Student Paper Award from ACM 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.
Research Experience
- During 2024-2025, Kuang served as a Senior Staff Scientist at Uber, where he led efforts on Machine Learning and Agentic AI.
Education
- Ph.D. in Electrical Engineering and Computer Science from MIT (2014), and Bachelor of Science degree from the University of Illinois at Urbana-Champaign (2009).
Background
- Tenured 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 a Co-Creator of the first Stanford course focusing on the strategy, management, and entrepreneurship of AI and Data Science.
Miscellany
- Kuang advises companies and investment funds on how to build 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.