Max Li
Research Scientist at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolMax Li is a Technical Lead at NVIDIA Cosmos with a decade of experience focused on physical AI and world models, building on a CS PhD from Johns Hopkins. He progressed through research roles at NVIDIA—from intern work on Neuralangelo to research scientist and senior research scientist—bringing research prototypes toward production-ready systems. His background in robotics (BASc, UBC) and internships at Meta and Intuitive reflect a strong blend of perception, simulation, and applied ML expertise. Based in California, he combines deep academic rigor with hands-on systems engineering to tackle large-scale embodied AI problems, often translating novel world-model ideas into practical lab and product outcomes. An online portfolio documents his work and signals an active engagement with the research community beyond his corporate roles.
10 years of coding experience
Johns Hopkins UniversityBachelor of Applied Science (BASc) Robotics, Bachelor of Applied Science (BASc) Robotics at The University of British Columbia
English, Chinese
Github Skills (111)
computer-graphics10
sequence-to-sequence10
depth-estimation10
neural-rendering10
3d-reconstruction10
sequence10
depth10
stereo10
robotics9
mesh9
sdk9
feature-matching9
computer-vision9
python9
gpu9
Programming languages (10)
Github contributions (5)
mli0603/stereo-transformer
Nov 2020 - Sep 2022
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)
Contributions:60 commits, 13 PRs, 29 pushes in 1 year 10 months
pytorchiccvsequencetransformersperspective
mli0603/PolygonMeshVirtualFixture
Feb 2020 - Jul 2022
Anatomical Mesh-Based Virtual Fixtures for Surgical Robots (IROS 2020). Repo contains code for interactive demo and dvrk demo.
Contributions:35 commits, 7 PRs, 93 pushes in 2 years 4 months
polygon-meshroboticsmeshsurgicaldvrk
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