Fabian Sinz

Professor at The University of Göttingen

Göttingen, Lower Saxony, Germany
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Summary

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Senior
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Top School
Fabian Sinz is a professor and machine learning researcher with 14+ years of experience building NeuroAI methods and data-driven “digital twins” for biological systems, currently holding the W3 chair of Machine Learning at the University of Göttingen. His work bridges computational neuroscience and ML to create models that generate testable biological insights, with publications in Nature, Science, NeurIPS and ICLR and over 4,000 citations (h-index >28). He leads multiple large-scale, funded collaborations—including two DFG SFBs, an RTG he helps coordinate, and international BMBF/NSF projects—demonstrating deep experience in both academic leadership and cross-sector partnerships. Trained summa cum laude in computational neuroscience and with stints at Baylor and the Max Planck Institute, he combines rigorous theoretical grounding with practical experimental validation. An underappreciated strength is his focus on transferring properties of biological systems into ML models, turning complex experimental constraints into scalable computational tools.
code14 years of coding experience
job11 years of employment as a software developer
bookDiploma in Computer Science (Dipl. Inform.), Bioinformatics, Diploma in Computer Science (Dipl. Inform.), Bioinformatics at University of Tuebingen
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Github Skills (79)

cloud-computing10
python10
toolbox10
databases10
pipeline-framework10
scientific-computing10
relational10
science10
relational-databases10
relational-algebra10
mysql10
workflow-management10
data-analysis10
datajoint10
machine-learning10

Programming languages (7)

TypeScriptDockerfileCTeXJupyter NotebookMATLABPython

Github contributions (5)

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fabiansinz/natter

Aug 2011 - May 2014

Contributions:47 commits in 2 years 9 months
Contributions:6 commits, 1 push, 1 branch in 6 years 2 months
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