Chak Lee
Research Scientist at Lawrence Livermore National Laboratory
Livermore, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChak Lee is a Research Scientist at Lawrence Livermore National Laboratory with a decade of experience in computational and applied mathematics, specializing in numerical linear algebra, finite element methods, and parallel scientific computing. He holds a Ph.D. from Texas A&M and has progressed from summer intern to research staff at LLNL, combining deep research expertise with sustained hands-on software development. An active contributor to the widely used MFEM C++ library, Chak has implemented matrix-nonzero management, fixed parallel matrix bugs, and added a mixed finite element miniapp—work that reflects practical mastery of high-performance, scalable code. He blends rigorous mathematical insight with engineering pragmatism, routinely improving build processes and resource management in complex codebases. Based in Livermore, CA, he brings an uncommon mix of production-grade open-source contributions and national-lab research experience to computational science challenges.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational and Applied Mathematics, Doctor of Philosophy (Ph.D.), Computational and Applied Mathematics at Texas A&M UniversityThe Chinese University of Hong Kong (CUHK)
Github Skills (15)
cluster-computing10
grid-computing10
c-language10
hpc10
high-performance10
parallel-computing10
cprogramming-language10
numerical-methods10
linear-algebra10
linear-systems8
finite-element-analysis8
solve8
solver8
computational-science8
amr4
Programming languages (3)
Github contributions (5)
mfem/mfem
Feb 2017 - Sep 2022
Lightweight, general, scalable C++ library for finite element methods
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 reviews, 146 commits, 7 PRs in 5 years 7 months
Contributions summary:Chak's commits primarily focus on modifying and extending the functionality of the MFEM library, specifically concerning finite element methods. They added a function call related to setting the number of non-zeros in a matrix, fixed a bug in a method related to parallel matrix operations, and added a miniapp for solving mixed finite element problems. Their contributions demonstrate expertise in linear algebra, numerical methods, and parallel computing within a computational science context. They improved the build process, used OperatorHandle for resource management.
c-plus-plusfinitefemamrc-library
LLNL/smoothG
Feb 2018 - Jan 2023
Mixed graph Laplacian upscaling and solvers
Contributions:717 commits, 44 PRs, 355 pushes in 5 years
cpplaplaciansolverssolverupscaling
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.