IAIFI Fellow at Massachusetts Institute of Technology
Cambridge, Massachusetts, United States
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Summary
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Senior
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Mathis Gerdes is an IAIFI Fellow at MIT with a decade of experience at the intersection of theoretical physics and machine learning, blending deep academic training with practical software projects. He holds a PhD in Theoretical Physics from the University of Amsterdam and advanced degrees in AI and mathematical physics from Edinburgh and Munich, having studied also in Göttingen and on exchange in Edinburgh for physics and computer science. His background spans high-energy experiment exposure at CERN and hands-on product work—building a self-contained mobile app for network analysis at gluoNNet—that showcases his ability to turn complex data into interactive tools. Based in Cambridge, MA, he brings a researcher’s rigor to ML-driven physics problems and a penchant for exploratory, "other fun things" coding that bridge theory and usable systems.
11 years of coding experience
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at The University of Edinburgh
Master's degree, Theoretical and Mathematical Physics, Master's degree, Theoretical and Mathematical Physics at Ludwig-Maximilians-Universität München
Doctor of Philosophy - PhD, Theoretical Physics, Doctor of Philosophy - PhD, Theoretical Physics at University of Amsterdam
Bachelor's degree, Physics, Bachelor's degree, Physics at The University of Göttingen
Monte Carlo sampling and integration methods for high energy physics.
Contributions:3 releases, 155 commits, 1 PR in 3 months
monte-carlo
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