Kyle 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.
3 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
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.