Summary
Jie Chen is a seasoned algorithm researcher with nine years' experience specializing in reinforcement learning, imitation learning, and autonomous driving, currently applying machine learning at ByteDance in Shenzhen. With a Ph.D. and postdoctoral work focused on robotics and learning-based control, Jie has led R&D teams building planning-and-control (PNC) algorithms for Level 4 autonomy at Momenta and advanced game AI and RL systems at Tencent. He combines deep academic rigor with production-facing expertise, shepherding research from student projects at a university lab to scalable industry deployments. Notably, Jie topped his undergraduate class in Mechatronics and has international experience as an exchange student in Singapore, which informs a pragmatic, cross-cultural approach to robotics and AI.
9 years of coding experience
3 years of employment as a software developer
Postdoctoral Research Fellow, Robotics, Imitation Learning, Reinforcement Learning, Postdoctoral Research Fellow, Robotics, Imitation Learning, Reinforcement Learning at Harvard University
The University of Hong Kong (HKU)
B.Eng, Mechatronics, Robotics, and Automation Engineering, Ranked 1/101, B.Eng, Mechatronics, Robotics, and Automation Engineering, Ranked 1/101 at Soochow University (CN)
Exchange Student, Mechatronics, Robotics, and Automation Engineering, Exchange Student, Mechatronics, Robotics, and Automation Engineering at National University of Singapore