Samuel Li

HPC Software Engineer at NVIDIA

California, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Samuel Li is an HPC software engineer with 11 years of experience specializing in data compression, scientific visualization, and machine learning for high-performance computing. He spent eight years at NSF NCAR where he authored SPERR, a state-of-the-art lossy compressor for simulation data, and co-developed VAPOR, a visualization suite for geosciences, before joining NVIDIA. Holding a PhD in Computer Science, Samuel combines deep research rigor with hands-on parallel programming and performance optimization on supercomputers. Based in California, he focuses on turning large-scale numerical data into compact, analyzable forms and practical visualization tools that accelerate scientific insight. An atypical strength is his track record of shipping both foundational algorithms and user-facing visualization systems, bridging theory and production at scale.
code11 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Oregon
bookBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at University of Science and Technology of China
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Tufts University
github-logo-circle

Github Skills (140)

parallel10
python10
windows10
multiple-versions10
abstraction10
vapor10
parallel-computing10
floating10
cpp10
scientific-computing10
compressor10
lossy-compression10
vpn10
ecosystem10
linux10

Programming languages (12)

TypeScriptJavaShellC++CTeXJavaScriptGo

Github contributions (5)

github-logo-circle
NCAR/SPERR

Dec 2019 - Feb 2023

SPERR is a lossy scientific (floating-point) data compressor that produces one of the best rate-distortion curves.
Contributions:11 releases, 3 reviews, 773 commits in 3 years 2 months
lossyfloatinghigh-performance-computinglossy-compressioncompressor
NCAR/H5Z-SPERR

Mar 2024 - Mar 2025

HDF5 Plugin for the SPERR Compressor
Contributions:8 releases, 21 PRs, 60 pushes in 1 year
hdf5hdf5-libraryhdf5-tool
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.
Request Free Trial