Jinghuan Shang is a research scientist with 11 years of experience specializing in representation learning, reinforcement learning, and robot learning, currently working at RAI Institute. He completed a PhD in Computer Science at Stony Brook University where his graduate research focused on visual representation learning for robotics and he has internships at Motional and Tsinghua that bridged autonomy and perception. Jinghuan’s work spans from trajectory prediction to embodied learning, combining rigorous academic research with applied lab experience in robot learning and computer vision. Based in Brookhaven, NY, he brings a proven ability to translate complex RL and representation ideas into practical robotic systems and has a track record of moving seamlessly between research and applied engineering.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at 上海交通大学
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stony Brook University
Contributions:2 commits, 1 push, 1 branch in 10 months
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