Ronald Kam
Graduate Student Researcher, Ceder Group
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolRonald Kam is a PhD candidate in Materials Science at UC Berkeley researching the physics and electrochemistry of earth-abundant materials for high-energy-density batteries in the Ceder Group. He combines first-principles electronic structure calculations, high-throughput Materials Project infrastructure, and data analytics to probe atomic-scale mechanisms—particularly for solid-state electrolytes and SEI formation. His background includes hands-on electrochemical R&D from internships at Natron Energy and Tesla, where he developed sodium-ion and silicon-anode technologies and implemented MATLAB workflows for cell testing. Ronald’s work uniquely bridges computational predictions with experimental characterization techniques like EIS and FTIR, accelerating materials discovery toward practical battery solutions. With eight years of experience spanning academic labs and industry, he brings a pragmatic, cross-disciplinary approach to translating atomistic insight into scalable electrochemical performance.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Materials Science and Engineering, Doctor of Philosophy - PhD, Materials Science and Engineering at University of California, BerkeleyDougherty Valley High SchoolUniversity College London
English, Chinese
Github Skills (30)
materials-informatics10
ising-model10
bioinformatics10
genomics10
science10
monte-carlo10
statistical-mechanics10
dft9
density-functional-theory9
python9
fenics9
mechanics9
code-analysis9
thermodynamics9
logistic-regression8
Programming languages (2)
Github contributions (5)
kamronald/smol
May 2022 - Feb 2025
Statistical Mechanics on Lattices
Contributions:106 pushes, 34 branches, 1 comment in 2 years 9 months
statisticallatticesmechanicsstatistical-mechanics
kamronald/pymatgen
May 2023 - Mar 2025
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.
Contributions:35 pushes, 4 branches in 1 year 10 months
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