Franz Rieger
Student Researcher at Max Planck Institute for Biological Intelligence
Greater Munich Metropolitan Area Germany
Summary
👤
Senior🎓
Top SchoolFranz Rieger is a researcher-engineer with a decade of experience at the intersection of deep learning and neuroscience, currently pursuing doctoral work at the Max Planck Institute for Biological Intelligence while holding a Student Researcher role at Google. He specializes in applying and developing deep learning methods for biological imaging—work that has included improving pixel-wise neuron segmentation with Segmentation Enhanced CycleGANs and contributing to the PyTorch-based elektronn3 library. A Technical University of Munich alumnus with high distinction (MSc, 1.2), Franz has taught AI to large cohorts, designed algorithmic coursework, and translated research ideas into production-adjacent code during industry internships. He combines strong academic rigor with practical engineering practice, bridging cutting-edge research and reusable open-source tooling in computational neuroscience. Notably, his background spans international research experiences (Hong Kong, Waterloo) that inform a global perspective on AI-driven biological discovery.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Informatics, 1.2 (High distinction), Master of Science - MS, Informatics, 1.2 (High distinction) at Technical University MunichThe University of Hong Kong (HKU)Exchange semester, Computer Science, Exchange semester, Computer Science at University of Waterloo
German, English
Github Skills (31)
convolutional-neural-networks10
biomedical-image-processing10
image-data10
biomedical10
image-processing9
robotics9
semantic-segmentation9
segmentation9
computer-vision8
python8
semantic8
machine-learning8
artificial-intelligence8
pytorch8
deep-learning7
Programming languages (1)
Github contributions (5)
riegerfr/Bachelor-s-thesis-edge-expansion
Mar 2019 - Apr 2019
Contributions:4 pushes, 1 branch in 1 month
StructuralNeurobiologyLab/nisb
Oct 2024 - Dec 2024
Contributions:3 pushes in 2 months
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