Felix Zimmermann

Clinical Data Scientist

Berlin, Germany
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Summary

👤
Senior
🎓
Top School
Felix 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.
code11 years of coding experience
job2 years of employment as a software developer
bookStaatsexamen Medizin, Staatsexamen Medizin at Charité - Universitätsmedizin Berlin
bookPhysik, Physik at Technische Universität Berlin
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Github Skills (12)

neural-network10
pytorch10
machine-learning10
tensor10
python10
autograd10
type-checking9
deep-learning9
typehinting9
unit-testing8
gpu7
numpy6

Programming languages (15)

C#C++CRustTeXVueHTMLXSLT

Github contributions (5)

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pytorch/pytorch

Aug 2021 - Jun 2025

Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
userML Engineer
Contributions:5 reviews, 3 PRs, 36 comments in 3 years 11 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.
gpu-accelerationneural-networkpythonautogradgpu
fzimmermann89/idi

Jan 2019 - Jul 2021

Simulating, Reconstructing and Analysing Data for FEL IDI Experiments
Contributions:412 commits, 11 PRs, 428 pushes in 2 years 6 months
felidiincoherent-imagesreconstructionsimulation
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