Andrew Gillette
Computational Scientist
San Ramon, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Gillette is a computational scientist with six years of professional experience applying numerical methods for partial differential equations and machine learning at scale within the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. He blends a strong academic foundation—PhD in Mathematics from UT Austin and faculty experience at the University of Arizona—with hands-on HPC practice, developing algorithms and software for large-scale simulation and data-driven modeling. His background spans academia and national lab environments, giving him a track record of turning theoretical advances in PDEs into performant implementations on leadership-class computing systems. Known for bridging rigorous mathematics and practical engineering, he focuses on reproducible, high-performance numerical software and ML workflows. Based in the San Ramon Bay Area, he maintains an active public profile and portfolio of work on his personal site, reflecting both research depth and production-oriented coding.
5 years of coding experience
7 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at The University of Texas at AustinBA, Mathematics, BA, Mathematics at Amherst College
Github Skills (40)
computational-science10
hpc10
parallel-computing10
python-bindings10
finite-element-analysis10
c-library10
cpp10
amr10
scalable10
scientific-computing10
swig9
multiphysics9
python8
petsc7
delaunay6
Programming languages (5)
Github contributions (5)
LLNL/ddd
Mar 2022 - Sep 2024
Delaunay density diagnostic
Contributions:1 review, 3 PRs, 71 pushes in 2 years 5 months
math-physics
gillette7/deepxde_nfp
Feb 2023 - Aug 2023
A library for scientific machine learning and physics-informed learning + visualization fork
Contributions:23 pushes in 6 months
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