Ronald Kam
Graduate Student Researcher, Ceder Group
Berkeley, California, United States
Summary
👤
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 (18)
materials-informatics10
ising-model10
mechanics10
monte-carlo10
statistical-mechanics10
dft9
python9
fenics9
science9
thermodynamics9
pymatgen8
density-functional-theory8
computational-physics8
linear-regression7
representations2
Programming languages (2)
Github contributions (5)
kamronald/sparse-lm
Aug 2022 - Mar 2025
Sparse Linear Regression Models
Contributions:19 pushes, 4 branches in 2 years 7 months
linear-regression
kamronald/pymatgen
May 2023 - Apr 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:36 pushes, 4 branches in 1 year 11 months
pymatgenpython
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.