Siu Cheung
Staff Research Scientist at Lawrence Livermore National Laboratory
Raleigh-Durham-Chapel Hill Area United States
Summary
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Rockstar🎓
Top SchoolSiu Cheung is a Staff Research Scientist at Lawrence Livermore National Laboratory with six years of experience bridging applied mathematics, computational science, and scientific machine learning. He progressed from a PhD in Mathematics at Texas A&M and earlier degrees from The Chinese University of Hong Kong to postdoctoral and staff roles at LLNL, applying rigorous theory to large-scale scientific computing problems. His work emphasizes developing computational methods that integrate mathematical modeling with machine learning to accelerate simulation-driven discovery. Having interned at ExxonMobil and Oak Ridge National Laboratory, he brings experience translating research into applied engineering contexts. Based in the Raleigh–Durham–Chapel Hill area, he combines deep academic training with national-lab practice, often focusing on practical algorithmic solutions that scale to high-performance computing environments.
6 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Texas A&M UniversityThe Chinese University of Hong Kong (CUHK)
Github Skills (28)
simulation10
reduction10
modeling-tool10
computational-science10
parallel-computing10
hydrodynamics10
modeling10
modelica10
molecular-simulation9
large-scale9
dynamics9
hpc9
simulations9
snl-applications9
scale9
Programming languages (4)
Github contributions (5)
tonycsw2905/tonycsw2905.github.io
Aug 2022 - Dec 2024
Contributions:38 pushes, 4 branches in 2 years 4 months
LLNL/libROM
Aug 2020 - Jan 2023
Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods
Contributions:207 reviews, 32 commits, 76 PRs in 2 years 5 months
model-reductionoptimizationreduced-order-modelssimulationlinear
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