Zachary Prince is a computational scientist with a decade of experience applying advanced numerical methods to nuclear and mechanical engineering problems, currently focused at Idaho National Laboratory. He holds a Ph.D. in Nuclear Engineering from Texas A&M and has built production-grade neutronics and multiphysics software—contributing backend features to the well-known MOOSE simulation framework and stewarding python-based neutronics tools at TerraPower. His work spans stochastic methods, reduced-order modeling, adjoint-constrained inverse optimization, and efficient flux-reconstruction algorithms for reactor heating and DPA analyses. Zachary combines hands-on C++ and Python development with NQA-1–compliant documentation and code-custodianship, enabling traceable, auditable workflows for safety-critical software. Notably, he has repeatedly accelerated transient and eigenvalue solvers (often 50–90% reductions in runtime) and led deployment of Griffin reactor physics code in production environments. Based in Idaho Falls, he brings a practical blend of research rigor, software engineering, and manufacturing-informed mechanical design experience.
10 years of coding experience
8 years of employment as a software developer
The University of Arizona
Doctor of Philosophy (Ph.D.), Nuclear Engineering, 4.0, Doctor of Philosophy (Ph.D.), Nuclear Engineering, 4.0 at Texas A&M University
Contributions:480 reviews, 301 commits, 138 PRs in 3 years 4 months
Contributions summary:Zachary's commits primarily focused on implementing features for a multiphysics simulation environment. They added a kernel and material for side set heat transfer, refactored variable transfer logic for efficiency, and created methods for handling and manipulating array variables within the framework. These modifications indicate a focus on enhancing the core capabilities of the simulation environment by introducing new components and improving existing ones.
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