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.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Oregon
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at University of Science and Technology of China
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Tufts University
Contributions:8 releases, 21 PRs, 60 pushes in 1 year
hdf5hdf5-libraryhdf5-tool
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