Pengchuan Zhang
Member Of Technical Staff at University of Washington
Pasadena, California, United States
Summary
🤩
Rockstar🎓
Top SchoolPengchuan Zhang is an AI research scientist and engineering leader with a decade of experience building cutting-edge computer vision and multimodal systems at Meta FAIR, Microsoft Research, and now OpenAI. He holds a PhD in Applied and Computational Mathematics from Caltech and a math degree from Tsinghua, combining deep theoretical grounding with practical product impact—most recently leading visual grounding work for Llama 3/4 and co-leading Segment Anything 3. His work spans foundational theory for deep learning, multimodal intelligence, and scalable vision systems that have achieved human-level benchmarks in visual commonsense reasoning. As an affiliate assistant professor at the University of Washington, he bridges academic rigor with industrial R&D and has repeatedly led cross-organizational initiatives to productionize research. Notably, he moves fluidly between algorithmic innovation and large-system execution, from novel optimization methods developed during earlier internships to steering major open models and lab-scale robotics/world-simulation efforts.
10 years of coding experience
9 years of employment as a software developer
California Institute of TechnologyBachelor's degree Mathematics, Bachelor's degree Mathematics at Tsinghua University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (53)
vision-and-language10
visual-question-answering10
weakly-supervised-learning9
scene9
benchmark8
scene-graph7
graph7
representations7
php7
computer-vision6
foundation-models6
pytorch6
stock6
nlp5
few-shot-learning5
Programming languages (2)
Github contributions (5)
pzzhang/maskrcnn-benchmark
Feb 2019 - Apr 2019
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Contributions:4 PRs, 110 pushes, 2 branches in 1 month
pytorchdetectron2deep-learningobject-detectioncomputer-vision
microsoft/vision-longformer
Apr 2021 - Oct 2021
Contributions:1 review, 7 commits, 4 pushes in 5 months
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