Chong Sun
Assistant Professor at Rutgers University
New Jersey, United States
Summary
🤩
Rockstar🎓
Top SchoolChong Sun is an Assistant Professor and computational chemist with a decade of experience bridging academic research and industry, including roles at Microsoft, Zapata Computing, and leading postdoctoral positions at Rice and the University of Toronto. Trained with a PhD in Theoretical Chemistry from Caltech and a chemistry degree from Peking University, he specializes in algorithmic and numerical methods for quantum chemistry and many-body electronic structure. He contributes performance-focused back-end code to high-profile open-source projects like PySCF, optimizing EOM-CCSD and EA-CCSD routines to accelerate large-scale simulations. Comfortable moving between theory, code, and experiments, Chong brings both deep scientific rigor and practical software engineering to problems at the intersection of quantum chemistry and computational tools.
10 years of coding experience
2 years of employment as a software developer
Massachusetts Institute of TechnologyCalifornia Institute of TechnologyBachelor's degree Chemistry, Bachelor's degree Chemistry at Peking UniversityTheoretical Chemistry, Theoretical Chemistry at Princeton University
Chinese, English, Spanish
Github Skills (10)
algorithm10
numerical-optimization10
algorithms10
code-optimization10
computational-chemistry10
optimisation10
python10
optimization10
scientific-computing9
numpy9
Programming languages (4)
Github contributions (5)
pyscf/pyscf
Aug 2018 - Sep 2019
Python module for quantum chemistry
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 9 PRs, 2 pushes in 1 year 1 month
Contributions summary:Chong optimized and cleaned up code related to the `ipccsd_diag` function, which is part of an equation-of-motion coupled-cluster singles and doubles (EOM-CCSD) calculation. They introduced performance improvements, likely involving efficient index manipulation and refactoring the original loops. Furthermore, the user added and modified code related to the `eaccsd_matvec` function and the `foo fvv fov` terms, indicating involvement in equation-of-motion calculations for electron attachment (EA-CCSD). This suggests contributions to improving the performance and accuracy of the PySCF library's computational chemistry capabilities.
python-modulesquantum-chemistry
sunchong137/thermal_chem
Sep 2019 - Jun 2020
Contributions:13 commits, 19 pushes, 1 branch in 8 months
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