Yiming Chen
Postdoctoral Researcher at Argonne National Laboratory
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolYiming Chen is a postdoctoral researcher and data-driven materials scientist with eight years of experience applying machine learning and large-scale data engineering to spectroscopy and materials problems. Based in San Diego and trained with a PhD in Nanoengineering from UC San Diego, he has managed and curated the world’s largest X-ray absorption spectroscopy database (>1,000,000 spectra) while building interpretable ML models that link spectral features to materials properties. A proficient Python developer and back-end contributor to the widely used pymatgen library, he added Voronoi-based site finding and XAS stitching functionality—work that bridges computational materials science and practical analysis tools. Comfortable with SQL and NoSQL systems, automated data pipelines, and rigorous unit testing, he combines hands-on coding with clear communication across academic and national-lab teams.
8 years of coding experience
6 years of employment as a software developer
University of California, San Diego
Github Skills (9)
science10
python10
materials-informatics10
material-components9
numpy9
material39
material-design9
unit-testing8
scipy7
Programming languages (4)
Github contributions (5)
materialsproject/pymatgen
Jan 2018 - Jul 2020
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
Back-end DeveloperContributions:22 commits, 5 PRs, 5 comments in 2 years 6 months
Contributions summary:Yiming's primary contributions involve adding new features and methods to the pymatgen library. They implemented a site finder using the Voronoi Tessellation algorithm and integrated X-ray absorption spectroscopy (XAS) functionality, including stitching methods for XANES and EXAFS spectra. The user also added unit tests to validate the implemented functionalities and made minor fixes and improvements.
moleculespythonscienceelectronic-structurepowers
yimingchen95/custodian
Nov 2018 - Feb 2020
A simple, robust and flexible just-in-time job management framework in Python.
Contributions:8 pushes in 1 year 3 months
job-managementpythonjobpython3just-in-time
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