Felix Zimmermann
PHD Researcher at Physikalisch-Technische Bundesanstalt, PTB
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolFelix Zimmermann is a PhD researcher at PTB in Berlin combining training in medicine and physics with 11 years of experience applying machine learning to imaging. He develops robust, model-aware reconstruction algorithms for quantitative MRI and publishes and presents his work at conferences. His background includes hands-on X-ray free-electron laser experiments and data analysis at Stanford, SLAC and SACLA, where he planned beamtime and prepared nanoscale reference samples. Felix contributes to major open-source ML infrastructure like PyTorch, improving type hints and optimizer tests, reflecting practical ML engineering skills. Comfortable across lab, clinical and computational settings, he brings a rare mix of clinical insight, experimental optics expertise and production-oriented ML development.
11 years of coding experience
2 years of employment as a software developer
Freie Universität BerlinPhysics, Physics at Technische Universität BerlinStaatsexamen, Medicine, Staatsexamen, Medicine at Charité
Github Skills (12)
neural-network10
pytorch10
machine-learning10
tensor10
python10
autograd10
type-checking9
deep-learning9
typehinting9
unit-testing8
gpu7
numpy6
Programming languages (14)
Github contributions (5)
pytorch/pytorch
Aug 2021 - Feb 2025
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
ML Engineer
ML EngineerContributions:4 reviews, 3 PRs, 33 comments in 3 years 6 months
Contributions summary:Felix contributed to the PyTorch repository by addressing issues related to type hints for tensor arithmetic and the LBFGS optimizer. They modified type hints in the `gen_pyi.py` tool to reflect the correct signatures for tensor operations and also added a test case for LBFGS with complex parameters, demonstrating knowledge of the optimizer's behavior. Additionally, the user made improvements to the code by adjusting assert statements and ensuring proper handling of running mean and variance values.
pythongpu-accelerationdeep-learninggpunumpy
fzimmermann89/texlive.js
Oct 2015 - Mar 2021
Compiling LaTeX in your browser -- rewrite of manuels version
Contributions:28 commits, 7 PRs, 31 pushes in 5 years 5 months
texcompilinglatexbrowser
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