Daniel Mazraeh
PHD Candidate
Freiburg im Breisgau, Baden-Württemberg, Germany
Summary
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Rockstar🎓
Top SchoolDaniel Mazraeh is a PhD candidate in biotechnology at the University of Freiburg with six years of hands-on experience at the interface of synthetic biology, neuroscience, and structural biology. He brings a systems-engineering mindset to biological problems, blending electrophysiology, optogenetic pharmacology, advanced imaging, and molecular diagnostics to probe ion channels and intercellular connections. Daniel has practical bench expertise—from TEVC and patch-clamp to RNA microinjection and qPCR—plus computational contributions as an ML engineer enhancing 3D U-Net pipelines and augmentation for the popular ZeroCostDL4Mic microscopy toolkit. Based in Freiburg, he combines rigorous academic training from Université Paris-Saclay and Université Grenoble Alpes with a proven ability to improve reproducibility and maintainability in both lab and code. Notably, his work spans from implementing photoswitched ligands to integrating image-augmentation libraries, showing fluency across experimental and computational domains.
6 years of coding experience
Doctor of Philosophy - PhD, Biotechnology, Doctor of Philosophy - PhD, Biotechnology at The University of FreiburgMaster of Science - MS, Nanomedicine and Structural Biology, Master of Science - MS, Nanomedicine and Structural Biology at Université Grenoble AlpesMaster of Science - MS, Cell Signaling and Integrative Neurosciences, Master of Science - MS, Cell Signaling and Integrative Neurosciences at Université Paris-Saclay
English, Persian, French, German
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (11)
net10
machine-learning10
image-augmentation10
deep-learning10
tensorflow10
python10
computer-vision9
google-colab8
data-science8
semantic-segmentation6
image-processing6
Programming languages (2)
Github contributions (5)
HenriquesLab/ZeroCostDL4Mic
Aug 2020 - Apr 2021
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
Role in this project:
ML Engineer
ML EngineerContributions:18 commits, 8 PRs, 28 pushes in 8 months
Contributions summary:Daniel primarily focused on enhancing the 3D U-Net implementation within the ZeroCostDL4Mic project. Their contributions included integrating imgaug for image augmentation, creating custom augmentation pipelines, and ensuring compatibility with TensorFlow 1.x. The user also made various corrections, including fixing typos and addressing minor bugs within the augmentation and download model sections, demonstrating a focus on improving functionality and maintainability.
pytorchno-costexploredeep-learninggoogle-colab
krentzd/napari-clemreg
Feb 2022 - Aug 2022
An automated point-set based registration algorithm for correlative light and electron microscopy (CLEM)
Contributions:15 commits, 22 PRs, 50 pushes in 6 months
electronlightelectron-microscopyregistrationc-plus-plus
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