Justin Laughlin
Software Engineer at SpaceX
San Ramon, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJustin Laughlin is a software engineer and computational mathematician with nine years of experience applying finite element methods and numerical modeling to real-world problems, now building numerical models at SpaceX. He earned a PhD in Engineering Sciences (Computational Science) from UC San Diego and has driven production-grade development at Lawrence Livermore National Laboratory, extending MFEM for isogeometric analysis, implementing matrix-free elasticity kernels, and creating mesh and simulation digital-thread databases. Justin blends deep theory — functional analysis, variational calculus, Sobolev spaces — with pragmatic software engineering, shipping high-performance, parallelizable code and tooling for photogrammetry, uncertainty quantification, and scientific workflows. He’s passionate about pushing computational math forward through new parallel paradigms, GPU-aware algorithms, and data-driven models, and has a track record of turning advanced research into usable open-source software and automation.
9 years of coding experience
12 years of employment as a software developer
University of California, San Diego
matlab, julia, python, c++, latex, bash
Stackoverflow
1reputation
60reached
0answers
2questions
Github Skills (53)
visualization10
computational-science10
hpc10
parallel-computing10
cpp10
amr10
opengl10
swig10
scientific-computing10
algorithms9
python9
data-viz9
jupyter-widget9
hydrodynamics9
geometry8
Programming languages (11)
Github contributions (5)
RangamaniLabUCSD/smart
Aug 2019 - Jan 2023
Spatial Modeling Algorithms for Reactions and Transport
Contributions:8 reviews, 269 commits, 20 PRs in 3 years 5 months
justinlaughlin/bsrde-stability
Apr 2020 - Mar 2022
Contributions:7 pushes, 1 branch in 2 years
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