Kyle Schwiebert
Postdoctoral Research Associate
Oak Ridge, Tennessee, United States
Summary
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Rockstar🎓
Top SchoolKyle Schwiebert is a postdoctoral research associate at Oak Ridge National Laboratory with a recent PhD in computational and applied mathematics from Michigan Technological University and four years of applied research experience. He specializes in finite element methods for incompressible turbulent flow and builds highly accurate, efficient code for numerical PDE analysis. His background blends rigorous math training with a dual undergraduate foundation in mathematics and chemical engineering, giving him a practical engineer’s perspective on modeling and simulation. Past internships at national labs and a track record of performance improvements (e.g., 40% speedups in Matlab signal-processing code) show he pairs theory with measurable software optimization. He has also explored ML-informed finite element approaches during stints at Los Alamos, signaling an interest in hybrid data-driven and physics-based methods. Based in Oak Ridge, TN, he brings both teaching experience and collaborative research skills to large-scale computational science projects.
4 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at Michigan Technological University
Github Skills (9)
parallel-computing10
scientific-computing10
computational-science9
multiphysics9
hpc9
cpp8
amr8
trilinos5
machine-learning1
Programming languages (2)
Github contributions (5)
KJSchwiebert/dotfiles
Jun 2024 - Apr 2026
Contributions:63 pushes in 1 year 10 months
KJSchwiebert/Trilinos
Mar 2025 - Mar 2025
Primary repository for the Trilinos Project
Contributions:1 push, 1 branch in 1 day
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