Yipeng Sun
Physicist at Argonne National Laboratory
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolYipeng Sun is a physicist and machine learning practitioner with over 15 years developing ML/DL algorithms, numerical simulations, and optimization toolkits for complex physics systems at national labs. Based in the Greater Chicago Area, he applies object-oriented Python and C++ at scale—building ANN and reinforcement learning models, FFT and PDE solvers, truncated power series algebra, and a suite of global and Bayesian optimization algorithms used in accelerator beam dynamics. His work spans practical accelerator projects from CERN and SLAC to Argonne’s next-generation storage ring, combining deep domain knowledge in symplectic integration, transfer-matrix formalism, and NAFF frequency analysis with production-ready code. Known for translating theoretical physics into robust software, he pairs algorithmic creativity with strong collaboration across experimental operations and upgrades. An uncommon strength is his breadth: he moves fluidly between low-level numerical methods (Fortran/C/C++) and modern ML stacks (TensorFlow, Keras, scikit-learn) to solve multi-objective, online/offline optimization challenges.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Peking University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (32)
paddleocr10
distributed-training10
multilingual10
parallel10
python10
ocr10
synthesis10
machine-learning10
industrial10
handwriting-recognition10
data-annotation10
reinforcement-learning10
toolkits10
deep-learning10
speech10
Programming languages (2)
Github contributions (5)
Yipeng-Sun/Paddle
Jul 2018 - May 2019
PArallel Distributed Deep LEarning
Contributions:8 PRs, 15 pushes, 3 branches in 9 months
caffe2paralleldeep-learningpaddlepaddlemachine-learning
Yipeng-Sun/AutoML-NAS-papers
Jan 2019 - Jan 2019
Contributions:9 commits, 7 pushes, 1 branch in 1 day
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