Lynn Munday
Computational Scientist
Idaho Falls, Idaho, United States
Summary
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Rockstar🎓
Top SchoolLynn Munday is a computational scientist with over 6 years in national-lab research and a longer technical career stretching back through engineering roles in industry and the military research sector. Currently at Idaho National Laboratory, Lynn applies advanced simulation and material-modeling expertise—built on a PhD in Mechanical Engineering—to coupled multiphysics problems and optimization workflows. Previous roles at Sandia and the US Army Research Laboratory focused on structural dynamics, discrete dislocation dynamics, finite elements, and molecular dynamics, giving a rare blend of continuum and atomistic modeling experience. As a contributor to the widely used MOOSE multiphysics framework, Lynn implemented AD-templated material updates and extended MultiApp data transfer for vector-valued optimization parameters, demonstrating practical impact on open-source scientific software. Based in Idaho Falls, Lynn combines deep research credentials with hands-on code development and testing, making complex physics accessible to optimization and simulation pipelines. Colleagues describe Lynn as someone who moves fluidly between rigorous theory and production-ready implementation, often surfacing subtle numerical issues before they become problems.
6 years of coding experience
14 years of employment as a software developer
The University of Maryland, College ParkM.S, Mechanical Engineering, M.S, Mechanical Engineering at The University of New MexicoBS, Mechanical Engineering, BS, Mechanical Engineering at Montana State University-Bozeman
Github Skills (7)
moose-framework10
c-language10
cprogramming-language10
tensorflow9
tensor9
optimization8
linear-algebra5
Programming languages (6)
Github contributions (5)
idaholab/moose
May 2020 - Jan 2023
Multiphysics Object Oriented Simulation Environment
Role in this project:
Back-end Developer
Back-end DeveloperContributions:606 reviews, 204 commits, 84 PRs in 2 years 9 months
Contributions summary:Lynn primarily worked on enhancing the MOOSE framework, focusing on features related to material modeling and optimization. Their contributions involved implementing and testing a new, AD-templated version of the IsotropicPowerLawHardeningStressUpdate material and the corresponding tests. They also modified the MultiAppPostprocessorTransfer to support vector-valued parameters for the optimization problem, allowing for the transfer of data between main and sub-applications.
pythonfinite-element-analysisfemparallelmultiphysics
lynnmunday/falcon
Jul 2021 - Jan 2025
Fracturing And Liquid CONservation
Contributions:42 pushes, 30 branches in 3 years 6 months
liquidpythonconservation
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