Yiming Li is a research scientist in New York with eight years of experience advancing AI and robotics, currently developing foundation models and digital twins for autonomous robotics at NVIDIA. He progressed through multiple NVIDIA research internships focused on autonomous vehicles and AI algorithms before transitioning to a full research scientist role, bringing deep applied research experience in perception and simulation. A PhD candidate at New York University in AI and Robotics, Yiming has blended academic rigor with hands-on systems work, including visiting stints at Tsinghua and Shanghai Jiao Tong. He balances intense research with a pragmatic engineering mindset—aptly summarized by his GitHub quip “Eat And Sleep Often, Code Occasionally”—suggesting a thoughtful, research-first approach to problem solving. Yiming’s background in both teaching and interdisciplinary collaborations underpins his ability to translate theoretical advances into robust experimental systems. Colleagues can expect a researcher who pairs strong modeling and simulation expertise with practical AV research experience at scale.
8 years of coding experience
Doctor of Philosophy - PhD, AI and Robotics, Doctor of Philosophy - PhD, AI and Robotics at New York University
Contributions:63 commits, 2 PRs, 59 pushes in 3 months
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