Roman Lee
Postdoctoral Fellow, NESAP For Workflow Performance at National Energy Research Scientific Computing Center (NERSC)
Berkeley, California, United States
Summary
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Rockstar🎓
Top SchoolRoman Lee is a computational plasma physicist and high-performance computing software engineer with eight years of experience building and optimizing large-scale simulation codes. Currently a NESAP postdoctoral fellow at NERSC after completing a PhD at UCLA, he specializes in GPU algorithms, dynamic load balancing, and performance tuning for the massively parallel particle-in-cell code OSIRIS used on the world’s largest supercomputers. His work spans low-level CUDA C and large Fortran/C++ codebases, parallel scaling benchmarks that reached ~10 million core-hours, and advanced signal-processing analysis in Python. Roman’s background in both physics and mathematics (BS degrees from the University of Michigan) and earlier FPGA firmware experience give him an uncommon blend of theoretical insight and hands-on systems engineering. He also serves as codebase administrator and merge-master, reflecting strong tooling and reproducibility practices beyond pure research.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Physics and Mathematics, Bachelor of Science - BS, Physics and Mathematics at University of MichiganDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of California, Los Angeles
English, German, Spanish
Github Skills (19)
ocean10
hdf9
gpu9
julia9
climate-change9
xla8
automatic-differentiation8
machine-learning8
fluid-dynamics8
visualization7
jupyter-notebook6
python6
tpu5
exascale4
data-handling4
Programming languages (7)
Github contributions (5)
romanlee/osiris-code
Sep 2022 - Jul 2024
OSIRIS Particle-In-Cell code
Contributions:3 pushes, 5 branches in 1 year 10 months
particleazerothcoredubpartyqbcore-framework
romanlee/JupyterPIC
Jan 2018 - Mar 2019
Contributions:12 pushes, 1 branch in 1 year 2 months
physicspythonjupyter-notebooknotebooksjupyter
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