Hanmei Tang
Senior Software Engineer at Google
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolHanmei Tang is a Senior Software Engineer at Google with a decade of experience building reliable back-end systems and production-grade scientific software. With a PhD in Materials Science and Engineering from UC San Diego, she blends deep domain expertise in simulations and informatics with pragmatic engineering practices. Her open-source work on flagship projects like pymatgen and atomate demonstrates a focus on computational materials workflows—adding NEB simulation support, VASP emulation, and robust NPT-AIMD testing to enable reproducible research. Colleagues describe her as research-driven yet product-minded, capable of turning complex simulation methods into maintainable code and automated tests. Based in Los Angeles, she brings a rare combination of academic rigor, strong QA instincts, and a playful “just for fun” approach to side projects.
10 years of coding experience
7 years of employment as a software developer
University of California, San DiegoBachelor's degree Materials Forming and Control Engineering (foundry simulation), Bachelor's degree Materials Forming and Control Engineering (foundry simulation) at Northeastern University (CN)
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
material-design10
material310
science10
python10
fireworks10
materials-informatics10
material-components10
computational-materials-science10
testing9
numpy7
scipy7
Programming languages (6)
Github contributions (5)
hackingmaterials/atomate
Mar 2017 - Jun 2017
atomate is a powerful software for computational materials science and contains pre-built workflows.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:44 commits, 3 PRs, 68 pushes in 3 months
Contributions summary:Hanmei's contributions focused on adding and modifying firetasks within the `atomate` library, a tool for computational materials science. They implemented the `TransferNEBTask`, responsible for transferring CI-NEB outputs. Furthermore, the user added `RunNEBVaspFake`, a VASP emulator specifically for CI-NEB simulations. The contributions demonstrate a focus on extending the library's functionality for Nudged Elastic Band (NEB) calculations.
sciencecomputational-materials-sciencecomputational-materialsmaterials-scienceworkflows
materialsproject/pymatgen
Feb 2017 - Nov 2018
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:34 commits, 13 PRs, 14 comments in 1 year 9 months
Contributions summary:Hanmei significantly enhanced the pymatgen library by enabling and testing NPT-AIMD simulations. They added a test file specifically for NPT analysis, demonstrating a focus on quality assurance. Furthermore, the user contributed to the modification of existing code, particularly within the diffusion analyzer, suggesting a role in extending functionality and ensuring reliability. Several bug fixes and code refinements were also included.
moleculespythonscienceelectronic-structurepowers
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