Robin Gutzen
Postdoctoral Researcher at Forschungszentrum Jülich
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRobin Gutzen is a computational neuroscientist and postdoctoral researcher with nine years of experience bridging physics, data-driven analysis, and neural network dynamics. He specializes in characterizing correlation structures and propagating activity in neural systems, and has led reproducible, open-source tooling for neurophysiology data handling—contributing backend fixes and format support to the widely used python-neo project. Based in New York and affiliated with Forschungszentrum Jülich and NYU, he combines rigorous quantitative comparison of models and data with practical engineering to make analysis code reusable across labs. Passionate about intuitive data visualization (and occasional sci-art), he brings an interdisciplinary perspective that spans biophysics, information theory, and software engineering to unravel how connectivity shapes neural function.
9 years of coding experience
5 years of employment as a software developer
Physics, Physics at University of MontpellierPhD, Computational Neuroscience, PhD, Computational Neuroscience at RWTH Aachen University
Github Skills (8)
file-handling10
file-processing10
neo4j10
file-access10
python10
fileio10
data-processing10
numpy7
Programming languages (5)
Github contributions (5)
NeuralEnsemble/python-neo
Oct 2019 - Oct 2020
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 4 PRs, 13 comments in 11 months
Contributions summary:Robin primarily contributed to improving the `neo/io/nixio.py` file, suggesting expertise in data input/output operations. They fixed bugs related to annotation handling, specifically addressing duplication issues. Additionally, the user made enhancements by adding micro Volt conversion and importing a missing package related to base signal modifications. These changes indicate a focus on data processing, file format handling, and improving the robustness of the core functionalities within the `neo` package.
neurosciencepythonneofile-formatscomputational-neuroscience
NeuralEnsemble/cobrawap
Aug 2018 - Jan 2023
Collaborative Brain Wave Analysis Pipeline (Cobrawap)
Contributions:59 reviews, 334 commits, 20 PRs in 4 years 5 months
modularpipelinewaves
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