Kuang Xu
Associate Professor (with Tenure)
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolKuang Xu is an Associate Professor at Stanford Graduate School of Business who builds AI and data-science systems for decision-making under uncertainty, with practical impact in marketplaces, supply chains, and agentic simulation. He pairs rigorous academic research (PhD from MIT) with hands-on product leadership—most recently as a Senior Staff Scientist on sabbatical at Uber where he led zero-to-one AI agents and causal ML efforts. Kuang has guided industry deployments end-to-end, from designing Uber Freight’s dynamic pricing system to launching AI-powered recommendations for Target last-mile delivery at Shipt. He advises startups and served as Chief AI and Data Science Advisor and senior advisor roles, translating causal inference and adaptive learning into production at scale. Based in Palo Alto, he blends theoretical depth with operational execution, often working at the intersection of causal methods and real-time decision systems—an uncommon combination that drives measurable business outcomes.
10 years of coding experience
Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science, Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science at Massachusetts Institute of TechnologySuzhou High SchoolBachelor of Science, Electrical Engineering, Bachelor of Science, Electrical Engineering at University of Illinois Urbana-Champaign
English, Chinese, French, Russian, HebrewGithub contributions (5)
KuangRD/Computational-Intelligence
Dec 2016 - Jul 2017
Contributions:51 pushes, 1 branch in 7 months
KuangRD/Note_Cheatsheet
Apr 2019 - Sep 2020
Contributions:2 pushes, 1 branch in 1 year 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.