Nathan Roberts
Computational Scientist
Winfield, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolNathan Roberts is a computational scientist with 14 years of experience building high-performance finite element software and advancing the discontinuous Petrov–Galerkin (DPG) methodology. Based at Sandia National Laboratories, he designed and scaled Camellia, a C++ framework used for rapid DPG application development and demonstrated to run on tens of thousands of MPI ranks. His background blends deep applied mathematics (PhD in Computational and Applied Mathematics) with decades of practical software engineering—from commercial apps at his consulting firm to Python interfaces and multigrid solvers for supercomputers. He has a track record of turning cutting‑edge numerical methods into robust, production-level code and has taught undergraduates how to ship well-tested scientific software. An often-overlooked strength is his ability to span from low-level performance tuning to user-facing tooling, making advanced PDE solvers both fast and accessible.
14 years of coding experience
7 years of employment as a software developer
High School, High School at Illinois Mathematics and Science AcademyDoctor of Philosophy (PhD), Computational and Applied Mathematics, Doctor of Philosophy (PhD), Computational and Applied Mathematics at The University of Texas at AustinBachelor’s Degree, Mathematics and Philosophy, Bachelor’s Degree, Mathematics and Philosophy at Wheaton CollegeMaster’s Degree, Computer Science, Master’s Degree, Computer Science at Baylor University
Github Skills (36)
linux10
hpc10
trilinos10
scientific-computing10
python9
abstraction9
windows9
macos9
cpp8
build-tools8
react8
triangulation8
parallel-computing8
openmp8
mpi8
Programming languages (5)
Github contributions (5)
CamelliaDPG/Trilinos
Aug 2016 - Jul 2026
Primary repository for the Trilinos Project
Contributions:1 PR, 1071 pushes, 91 branches in 10 years
trilinos
CamelliaDPG/omega_h
Jul 2017 - Feb 2018
Contributions:4 pushes, 1 branch in 7 months
meshsimplexgpuadaptivityhpc
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