Kenny Swartz
Computational Optimization Engineer
Livermore, California, United States
Summary
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Rockstar🎓
Top SchoolKenny Swartz is a computational optimization engineer with a Ph.D. in Mechanical Engineering and four years of professional experience applying topology and numerical optimization to real-world design problems. Based at Lawrence Livermore National Laboratory, he builds and scales physics-informed optimization workflows, drawing on deep expertise in computational mechanics, electromagnetics, and parallel computing. His graduate research automated topology optimization and tackled inverse problems for residual stress using synchrotron data, demonstrating a blend of experimental insight and algorithm development. Past industry internships at Caterpillar and Rolls‑Royce show a pragmatic streak—automating test data analysis and delivering optimization-driven design tools that were adopted by engineers. Comfortable in Python, MATLAB, and high-performance computing environments, he thrives on turning complex multiphysics problems into usable engineering solutions.
4 years of coding experience
8 years of employment as a software developer
University of Illinois Urbana-Champaign
Github Skills (31)
nonlinear10
simulation10
sbml10
co-simulation10
computational-science9
parallel-computing9
mechanics9
snl-applications9
modelica9
cpp9
c-library8
scientific-computing8
scalable8
multiphysics8
amr8
Programming languages (1)
Github contributions (4)
LLNL/serac
Apr 2022 - Oct 2022
Serac is a high order nonlinear thermomechanical simulation code
Contributions:45 reviews, 23 commits, 17 PRs in 6 months
computational-physicscppnonlinearsnl-applicationssbml
LLNL/Tribol
Nov 2023 - Dec 2023
Modular interface physics library featuring state-of-the-art contact physics methods.
Contributions:1 review, 5 pushes, 1 comment in 1 month
math-physics
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