Patrick Behne
Senior Engineer, Fuel Performance Modeling at Lightbridge Corporation
Idaho Falls, Idaho, United States
Summary
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Rockstar🎓
Top SchoolPatrick Behne is a Senior Engineer specializing in fuel performance modeling with a PhD in Nuclear Engineering from Texas A&M and seven years of experience applying reduced-order models and high-fidelity simulation to radiation transport and reactor analysis. He has a strong software engineering pedigree—proficient in Python, C++, and Git—and significant open-source impact on the MOOSE framework, improving mesh generators, checkpointing resilience, and test automation for large-scale multiphysics simulation. At Idaho National Laboratory he hardened long-running simulation workflows (wall-time checkpoints, parallel-consistent outputs) and built tooling like a variational mesh smoother and CI-backed virtual test bed to reduce silent data corruption and maintenance burden. His research has produced ROMs that delivered speedups up to 400,000x for real-time and uncertainty-aware applications, and he blends hands-on coding with community support, documentation, and workshops. Now based in Idaho Falls and working on fuel modeling at Lightbridge, he pairs domain expertise in neutronics and transport with pragmatic software practices to accelerate predictive science.
7 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Nuclear Engineering, Doctor of Philosophy - PhD, Nuclear Engineering at Texas A&M University
Github Skills (10)
mesh10
c-language10
cprogramming-language10
testing10
test-automation9
f9
moose-framework9
el9
simulations9
simulation9
Programming languages (4)
Github contributions (5)
idaholab/moose
Feb 2023 - Mar 2025
Multiphysics Object Oriented Simulation Environment
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:159 reviews, 38 PRs, 4 pushes in 2 years 2 months
Contributions summary:Patrick's contributions centered on enhancing the `PatternedMeshGenerator` within the MOOSE framework. They implemented checks for unique boundary names, fixed mesh stitching bugs, and added unit tests to improve its reliability. Furthermore, the user refactored existing testing methods to eliminate code duplication and improved the handling of signal-based checkpoints. These modifications indicate a focus on both back-end functionality and the quality assurance aspects of the codebase.
pythonfinite-element-analysisfemparallelmultiphysics
pbehne/moose
Feb 2023 - Mar 2025
Multiphysics Object Oriented Simulation Environment
Contributions:320 pushes, 68 branches in 2 years 1 month
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