Xiangli Chen
Applied Scientist II at Amazon Robotics
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolXiangli Chen is an Applied Scientist II at Amazon Robotics with nine years of experience specializing in reinforcement learning, inverse reinforcement learning, preference and imitation learning, and robust control. He holds a PhD in Machine Learning, AI, and Optimization from the University of Illinois at Chicago, where his research produced practical methods for adversarial inverse optimal control, robust covariate-shift regression, and system identification under control policies. At Amazon Robotics he applies these foundations to real-world robotic systems, bridging theoretical optimal control with production-scale learning and structured prediction. His background includes internships and research roles at Disney Research and extensive teaching experience, reflecting both deep technical expertise and an ability to communicate complex concepts. An underappreciated strength is his consistent focus on robustness and embodiment transfer—making learned policies resilient when demonstrator and learner differ.
9 years of coding experience
Doctor of Philosophy (PhD), Machine Learning, Artificial Intelligence, Optimization, Doctor of Philosophy (PhD), Machine Learning, Artificial Intelligence, Optimization at University of Illinois at Chicago
English, ChineseProgramming languages (1)
Github contributions (5)
xiangli-chen/home
Aug 2017 - Jul 2018
Contributions:5 commits, 35 pushes, 1 branch in 11 months
xiangli-chen/DL-Google-udacity
Aug 2017 - Feb 2020
Contributions:9 pushes, 1 branch in 2 years 6 months
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