Quan Bui
Lead Data Scientist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolQuan Bui is a Lead Data Scientist in the San Francisco Bay Area with a decade of experience applying fluid mechanics, numerical methods, and high-performance computing to real-world problems. He transitioned from national lab computational science to industry, enabling advanced computer vision and precision herbicide application at Blue River Technology. Trained as a Ph.D. in Applied Mathematics and Statistics, Quan combines rigorous solver and statistical modeling expertise with production ML systems engineering. He has a background spanning research institutions (LLNL, Los Alamos, Santa Fe Institute) and brings an uncommon blend of theoretical depth and hands-on deployment experience.
10 years of coding experience
14 years of employment as a software developer
BA, Philosophy, Math, and History of Science, BA, Philosophy, Math, and History of Science at St. John's College (NM)The University of Maryland, College Park
Github Skills (19)
simulation10
sparse10
linear-systems10
parallel10
simulator10
wps10
simulation-framework10
hpc10
power-systems10
renewable-energy10
snl-applications10
gpu10
hydrodynamics10
climate-model9
petsc9
Programming languages (3)
Github contributions (5)
mquanbui/SC20_AD
Jun 2020 - Jun 2020
Contributions:1 release, 1 push, 1 branch in 1 day
hypre-space/hypre
Feb 2021 - Oct 2021
Parallel solvers for sparse linear systems featuring multigrid methods.
Contributions:3 reviews, 29 commits, 2 PRs in 8 months
multigridradiusssnl-applicationsparallelsolvers
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