Justin Dong
Postdoctoral Research Scholar at Lawrence Livermore National Laboratory
Livermore, California, United States
Summary
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Rockstar🎓
Top SchoolJustin Dong is a postdoctoral research scholar at Lawrence Livermore National Laboratory with 10 years of experience in scientific computing, numerical analysis, and machine learning, focused on neural-network approaches for approximating PDEs. He earned a PhD in Applied Mathematics from Brown University (NSF GRFP recipient) and combines rigorous analysis with hands-on implementation of high-order time integration methods in the E3SM climate model. His work spans GPU-accelerated discontinuous Galerkin solvers, performance-portable C++ frameworks, and physics-informed neural closures for complex suspension and groundwater problems. Based in Livermore, CA, he bridges theoretical development and production-scale climate modeling, bringing a rare mix of deep numerical insight and practical, parallel-computing experience.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Brown UniversityBachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at Rice University
Github Skills (17)
computational-science10
parallel-computing10
cpp10
amr10
scientific-computing10
hpc9
predictor9
prophecy8
calculator7
prophet7
turnip7
3ds4
python3
exascale3
neural-network3
Programming languages (5)
Github contributions (5)
jdongg/galerkinNNs
Apr 2023 - Mar 2025
Galerkin neural networks for approximating PDEs
Contributions:1 review, 2 PRs, 9 pushes in 1 year 11 months
neural-network
jdongg/numCL
May 2019 - Mar 2025
Contributions:4 pushes, 1 branch in 5 years 10 months
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