Marvin Poul is a Research Fellow and postdoctoral materials scientist with 13 years of experience bridging atomistic simulation, thermodynamics, and machine-learned interatomic potentials. Based in Ann Arbor, he applies advanced ML potentials and pyiron-based workflows to accelerate materials modelling, drawing on a PhD from the Max-Planck-Institut für Eisenforschung and extensive teaching experience in DFT and computational materials. He has hands-on industry experience in atomistic simulation at ACEworks and a track record of organizing and delivering workshops and tutorials (POTENTIALS 2021/2022), which speaks to both technical depth and community engagement. Comfortable writing course materials and mentoring students, he combines rigorous computational methods with practical tool development to make predictive materials modeling more accessible.
13 years of coding experience
2 years of employment as a software developer
Materials Science, Materials Science at Technische Universität Berlin
Master of Science - MS Materials Science, Master of Science - MS Materials Science at University of Stuttgart
Contributions:35 commits, 12 pushes, 1 branch in 5 months
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Marvin Poul - Research Fellow at University of Michigan