Moritz Reh

Senior Consultant at d-fine

Heidelberg, Baden-Württemberg, Germany
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Summary

👤
Senior
🎓
Top School
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.
code9 years of coding experience
bookBachelor Thesis Physik, Bachelor Thesis Physik at University of California, Berkeley
bookDoktor Computational Physics, Doktor Computational Physics at Heidelberg University
bookBachelor Physik, Bachelor Physik at RWTH Aachen University
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Github Skills (17)

equinox9
dynamical-systems9
jax9
monte-carlo9
differential-equations9
jit8
gpu8
machine-learning8
recreate7
deep-learning7
tpu6
neural-network4
dynamics3
quantum-computing2
pep2

Programming languages (4)

JuliaTeXJupyter NotebookPython

Github contributions (5)

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mr128254/POVM_TDVP

Jul 2020 - Nov 2020

A TDVP that aims to recreate Quantum Dynamics for Mixed States
Contributions:4 PRs, 170 pushes, 2 branches in 4 months
quantum-computingquantum-dynamicsdynamicsquantumaims
RehMoritz/vmc_pde

Mar 2022 - Aug 2022

Contributions:33 commits, 9 pushes in 5 months
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