Sean Mcgovern
Principal Machine Learning Engineer at Gestell Labs LLC
Durham, North Carolina, United States
Summary
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Senior🎓
Top SchoolSean Mcgovern is a Principal Machine Learning Engineer and founder with 13 years of experience applying physics and computational science to high-performance computing and scientific software. Trained in experimental and computational physics (MS, University of Virginia; PhD, Bonn/Jülich), he has led research on deformable porous media, fluid-structure interaction, and adaptive mesh refinement, and has production experience on large-scale machines like Jureca, Juwels, and Perlmutter. As a Principal Scientist and former Director of Scientific Computing, he has driven open-source contributions to DARMA/vt, Trilinos, and NimbleSM and led an SBIR-funded project (Workvisualizer) for interactive HPC performance analysis. Now at Red Hat working on PyTorch and continuing consulting through Gestell Labs, he blends deep numerical methods with practical, performant parallel implementations and GPU acceleration. His international academic and engineering background—spanning Oxford, Bonn, and the Côte d'Azur—helps him tackle cross-disciplinary, complex problems with both research rigor and production focus.
13 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Geosciences, Doctor of Philosophy - PhD, Computational Geosciences at The University of BonnBachelor of Arts - BA, Physics and Philosophy, Bachelor of Arts - BA, Physics and Philosophy at Hamilton CollegeMaster of Science - MS, Physics, Master of Science - MS, Physics at University of Virginia
Github Skills (32)
lists10
transport10
computational-science10
load-balancing10
hpc10
parallel-computing10
cpp10
scientific-computing10
algorithms9
mechanics9
trilinos9
concurrency9
virtualization9
multiphysics9
quantum-computing8
Programming languages (5)
Github contributions (5)
stmcgovern/stmcgovern.github.io
Dec 2017 - Dec 2021
Contributions:3 PRs, 9 pushes, 1 branch in 4 years
NexGenAnalytics/WorkVisualizer
Oct 2024 - Nov 2024
High-level, interactive, visual performance analysis for High-Performance Computing (HPC)
Contributions:3 reviews, 2 PRs, 6 pushes in 1 month
high-performance-computingoptimizationvisualization
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