Yihan Hu is a research scientist with eight years of experience specializing in end-to-end autonomous driving, generative models, reactive simulation, and neural planners, now based in San Jose and working at Applied Intuition. Prior to this role he spent five years at Horizon Robotics advancing 3D perception, detection/tracking/mapping, sensor fusion, and both on-board and off-board deployment pipelines. He combines a physics background from Peking University with an MS in Mechatronics, Robotics, and Automation from UC San Diego, enabling a strong bridging of theory and practical systems engineering. Known for blending imitation/reinforcement learning and optimization techniques into deployable planners, he’s comfortable taking models from research prototypes to production inference on vehicle stacks. A detail that stands out: his work spans both generative simulation for safer training data and low-latency neural planners for real-time control, reflecting a rare dual focus on data realism and execution efficiency.
8 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Peking University
Contributions:6 pushes, 1 branch, 11 comments in 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.
Request Free Trial
Yihan Hu - Research Scientist at Applied Intuition