Benjamin Priest
Computational Scientist
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolBenjamin Priest is a computational scientist with a decade of experience building scalable algorithms and systems for analyzing massive data, currently applying his expertise at Lawrence Livermore National Laboratory. His research centers on streaming, sketching, and approximation algorithms for large graphs and distributed computation, and he has a strong publication record from his PhD work at Dartmouth onward. Ben specializes in extracting actionable signals from resource-constrained environments, translating theoretical methods into high-performance implementations used on real-world datasets. He brings hands-on experience across national labs and research institutions, including MIT Lincoln Laboratory, and a practical background that began with engineering roles in the U.S. Air Force. Based in San Jose, he combines deep algorithmic knowledge with production-minded engineering to tackle problems where memory and time are the primary constraints.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Thayer School of Engineering at DartmouthBachelor of Science - BS, Bachelor of Science - BS at The Ohio State University
Github Skills (38)
algorithm9
python9
gaussian-processes9
machine-learning9
scientific-computing9
optimization8
snl-applications8
electrical-engineering8
data-stream7
fst7
power-systems7
statistics7
memory-management7
vehicle-routing-problem7
natural-language-processing7
Programming languages (3)
Github contributions (5)
bwpriest/ygm
Aug 2021 - Jul 2025
Contributions:91 pushes, 75 branches in 4 years
llnl/MuyGPyS
Jul 2021 - Feb 2023
A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.
Contributions:22 releases, 166 reviews, 94 commits in 1 year 6 months
gaussian-processespythonscientific-computingmachine-learningmath-physics
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