Changpeng Lu
Associate Machine Learning Scientist
United States
Summary
👤
Senior🎓
Top SchoolChangpeng Lu is an Associate Machine Learning Scientist with a decade of experience blending physics, structural biology, and statistics to develop physics-informed ML solutions for therapeutic proteins, particularly in oncology. At Genentech and Rutgers he has driven protein-focused projects—co-authoring a PNAS paper on enzyme specificity using protein graph neural networks and contributing ligand assessment tools now used by the PDB. His work spans from ab initio structure prediction and beta‑sheet modeling to scalable tooling for model experimentation, showing both deep domain knowledge and production-oriented engineering. A PhD candidate in Biotechnology with a physics undergraduate background and Cambridge exchange experience, he uniquely combines theoretical rigor with practical pipeline-building and has a track record of turning complex biological problems into deployable computational tools.
10 years of coding experience
Bachelor's degree Physics, Bachelor's degree Physics at Wuhan UniversityExchange Student Business/Commerce General, Exchange Student Business/Commerce General at University of CambridgeDoctor of Philosophy - PhD Biotechnology, Doctor of Philosophy - PhD Biotechnology at Rutgers University
Github Skills (6)
computational-physics4
physics4
kernel3
cuda2
autodiff1
gpu1
Programming languages (1)
Github contributions (5)
Nucleus2014/protease-gcnn-pytorch
Aug 2020 - Feb 2023
Contributions:47 commits, 67 pushes in 2 years 6 months
Nucleus2014/rosetta_scripts
Feb 2021 - Feb 2023
Contributions:5 commits, 4 pushes, 3 branches in 2 years
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