Kyle Gamble is a computational scientist with 11 years of experience developing and validating nuclear fuel performance models, primarily within the MOOSE/BISON multiphysics framework at Idaho National Laboratory. He leads LWR fuels modeling efforts and manages diverse work packages, contributing technical depth in accident-tolerant fuels, LOCA modeling, numerical methods, and mesh generation while maintaining a robust testing and validation suite. Kyle’s contributions to the widely used idaholab/moose repository include transitioning mechanics tests to a tensor mechanics framework and implementing nuanced material-property and cavity-pressure features, reflecting both framework-level and application-focused expertise. He mentors early-career staff and provides user support and training, pairing research-grade simulation skills with practical delivery on funded projects. With a PhD in Nuclear Engineering and prior experience benchmarking MOOSE against industry tools for CANDU fuel, he blends academic rigor with production-grade code stewardship.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Nuclear Engineering, Doctor of Philosophy (PhD), Nuclear Engineering at University of South Carolina-Columbia
Master's of Applied Science, Nuclear Engineering, Master's of Applied Science, Nuclear Engineering at Royal Military College of Canada/Collège militaire royal du Canada
Bachelor of Science (B.Sc.), Engineering Physics, Bachelor of Science (B.Sc.), Engineering Physics at Queen's University
IBT Program, IBT Program at Gordon Graydon Memorial Secondary School
Contributions:24 reviews, 39 commits, 41 PRs in 7 years 10 months
Contributions summary:Kyle primarily contributes to transitioning tests within the `idaholab/moose` repository from solid mechanics to tensor mechanics, and to modifying existing tests that use mechanics models to leverage the tensor mechanics framework. The user also implemented changes to output gap conductivity as a material property and modified the code to handle additional volume parameters in a cavity pressure setting. These modifications involve changes to the underlying framework for implementing material properties.
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