Roman Ellerbrock
Head Of Applied Research - Chemistry at Terra Quantum AG
Dachau, Bavaria, Germany
Summary
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Senior🎓
Top SchoolRoman Ellerbrock is Head of Applied Research - Chemistry with eight years of experience bridging theoretical chemistry and high-performance software engineering to push quantum simulation forward. Trained at Bielefeld (PhD summa cum laude) and a former Stanford postdoc, he develops C++ and Python tensor-network codes to emulate quantum computers on classical clusters and cloud infrastructure while probing vibrational states and gas-phase reaction dynamics. He combines advanced machine learning (kernel and nonlinear dimensionality reduction) with quantum-dynamics expertise to discover reaction coordinates and accelerate simulations. Regularly publishing and presenting at international venues, he translates cutting-edge theory into production-ready tools at Terra Quantum, uniquely blending deep academic rigor with practical, scalable implementations.
9 years of coding experience
Doctor of Philosophy - PhD, Theoretical Chemistry, summa cum laude, Doctor of Philosophy - PhD, Theoretical Chemistry, summa cum laude at Bielefeld University
Github Skills (12)
linear-algebra9
cpp9
machine-learning8
python8
gpu8
numpy7
tensor7
deep-learning7
neural-network6
autograd5
gpu-acceleration5
cookiecutter1
Programming languages (3)
Github contributions (5)
roman-ellerbrock/wavepacket-dynamics
Aug 2021 - Jan 2023
Contributions:27 commits, 12 pushes, 3 branches in 1 year 5 months
roman-ellerbrock/mctdh-cpp
Mar 2020 - Dec 2022
A c++ implementation of the multilayer multi-configurational time-dependent Hartree approach
Contributions:68 commits, 1 PR, 8 pushes in 2 years 9 months
cpp
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