Moritz Reh is a consultant at d-fine with nine years of experience bridging advanced research and practical IT/software projects. He holds a PhD in computational quantum many-body physics from Heidelberg, where he developed and implemented machine-learning-driven simulation techniques using deep neural networks and supervised student projects and teaching. His background includes research stays at UC Berkeley and the Vector Institute, plus hands-on industry experience building credit-risk tools and digitization analyses during earlier consulting and internship roles. Moritz combines rigorous quantitative modeling with production-minded engineering, making him adept at translating cutting-edge ML and simulation methods into deployable solutions for finance and technology clients. An unexpected strength is his deep familiarity with both theoretical physics and applied software delivery, enabling novel approaches to complex, data-driven problems.
9 years of coding experience
Bachelor Thesis Physik, Bachelor Thesis Physik at University of California, Berkeley
Doktor Computational Physics, Doktor Computational Physics at Heidelberg University
Bachelor Physik, Bachelor Physik at RWTH Aachen University
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