Yunjie Pan
Research Scientist at Meta
Ann Arbor, Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolYunjie Pan is a research scientist and PhD student in Computer Science at the University of Michigan with seven years of experience building high-performance ML systems and compilers. Currently at Meta, he focuses on productionizing cutting-edge training techniques—recent internships included fp8 mixed-precision training and PyTorch compiler work generating Triton code and autotuners for optimal layouts. His background spans industry internships at Twitter and deep academic training from Zhejiang University (top of his class) to advanced research in scalable model training. Known for bridging research and engineering, he combines compiler-level codegen expertise with practical autotuning to speed real-world large language model workflows. An attention to numerical efficiency and layout-aware implementations is a recurring, not-often-explicit thread in his work.
7 years of coding experience
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at University of MichiganBachelor of Engineering - BE, Electrical and Electronics Engineering, 3.99/4.0, Ranking 1/120, Bachelor of Engineering - BE, Electrical and Electronics Engineering, 3.99/4.0, Ranking 1/120 at Zhejiang University
Github Skills (66)
python10
datasets10
metal10
deep-learning10
gpu10
gpu-acceleration10
opencl10
acceleration10
numpy10
torchvision10
neural-network10
computer-vision10
tensor10
cpu10
tensorflow10
Programming languages (8)
Github contributions (5)
pyjhzwh/LQ-net-pytorch
Sep 2019 - Jun 2022
Contributions:34 commits, 29 pushes, 2 branches in 2 years 10 months
pyjhzwh/torchdynamo
May 2022 - Aug 2022
A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
Contributions:1 PR, 203 pushes, 49 branches in 3 months
pytorchpythonjitfastercompiler
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