Mark Messner
Group Leader at Argonne National Laboratory
Plainfield, Illinois, United States
Summary
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Rockstar🎓
Top SchoolMark Messner is a computational mechanics leader with nine years of experience translating multiscale materials science into robust simulation tools, now serving as Group Leader at Argonne National Laboratory. He holds a PhD from UIUC in Civil and Environmental Engineering and progressed from graduate research on crystal plasticity and fatigue to postdoctoral work at Lawrence Livermore and a principal engineering role at Argonne. Mark is a hands-on developer in high-performance multiphysics codes—contributing substantial Lagrangian mechanics kernels and homogenization constraint systems to the widely used MOOSE framework—bridging theory, numerical methods, and production-grade software. He focuses on high-temperature materials and large-deformation mechanics, combining deep domain expertise with practical experience improving tensor mechanics modules and large-displacement Jacobians. Colleagues rely on him for rigorous, scalable solutions that connect microstructural physics to predictive simulations for demanding engineering applications.
9 years of coding experience
9 years of employment as a software developer
University of Illinois Urbana-Champaign
English, German
Github Skills (14)
tensorrt10
finite-element-analysis10
c-language10
tensor10
el10
f10
tensorflow10
object-oriented-programming10
cprogramming-language10
multiphysics10
parallel9
simulations9
simulation9
python3
Programming languages (9)
Github contributions (5)
idaholab/moose
Mar 2021 - Nov 2022
Multiphysics Object Oriented Simulation Environment
Role in this project:
Back-end Developer
Back-end DeveloperContributions:127 reviews, 34 commits, 12 PRs in 1 year 7 months
Contributions summary:Mark significantly contributed to the development of Lagrangian mechanics kernels within the MOOSE framework. They added and updated kernels for total and updated Lagrangian solid mechanics, focusing on areas like correct large displacement Jacobians and compatibility with existing material models. Their work included implementing homogenization constraint systems to impose stress or strain constraints for large deformations. The contributions involved substantial code modifications in the tensor mechanics modules, including materials, kernels, and actions.
pythonfinite-element-analysisfemparallelmultiphysics
Argonne-National-Laboratory/neml
Nov 2016 - Jan 2023
Modular consitutive modeling library for structural materials
Contributions:13 releases, 40 reviews, 482 commits in 6 years 3 months
modularstructuralleast-squaresmodelingmaterials-informatics
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