Cyrille Rossant
Software Engineer at int-brain-lab cortex-lab
Paris, Ile-de-France
Summary
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RockstarCyrille Rossant is a Paris-based software engineer with 13 years of experience combining neuroscience research and production-grade software development. He brings deep expertise in scientific Python tooling—contributing to flagship projects like IPython and Vispy—and has authored and engineered the IPython Cookbook website and code examples used by the community. Cyrille has hands-on experience in backend systems, test automation, and data/science engineering, including work on high-performance spike-sorting (Kilosort/pykilosort) and signal-processing recipes. He focuses on reliable, reproducible code for data-heavy workflows and often contributes both core algorithmic improvements and the tooling that makes them usable. An unusual strength is his blend of domain science and infrastructure: he not only implements algorithms but also builds the documentation, website, and tests that let others adopt them.
13 years of coding experience
Stackoverflow
528reputation
23kreached
5answers
5questions
Github Skills (58)
data-visualizations10
unit-testing10
algorithms10
scipy10
visualization10
numerical10
computation10
python10
jupyter10
data-science10
signal-processing10
matplotlib10
testing10
scikit10
css10
Programming languages (11)
Github contributions (5)
ipython-books/cookbook-code
Oct 2013 - Jun 2018
[DEPRECATED] See the new edition:
Role in this project:
Data Scientist
Data ScientistContributions:2 releases, 164 commits, 13 PRs in 4 years 8 months
Contributions summary:Cyrille contributed to adding, updating, and fixing recipes related to machine learning and statistical data analysis within the IPython Cookbook repository. The contributions involved integrating and showcasing various machine learning techniques with examples utilizing scikit-learn, as well as documenting and correcting code examples involving PyMC for Bayesian modeling. The user focused on providing practical guides for users to understand and implement data analysis tools, including plotting and visualization. The work emphasizes building and understanding models, feature selection, and machine learning techniques.
materials-informaticsnumba
ipython-books/cookbook-2nd-code
Mar 2017 - Mar 2021
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Role in this project:Data Scientist
Data ScientistContributions:27 commits, 4 PRs, 25 pushes in 4 years
Contributions summary:Cyrille contributed code for Chapter 10, which focuses on signal processing techniques such as Fourier transforms and autocorrelation. The commits include code for analyzing time series data, applying filters, and visualizing the results using Python and libraries like NumPy, SciPy, and Matplotlib. The user also included code for Chapter 9, focused on numerical optimization, and other chapters including code and updates.
pythonjupyter-notebookdata-miningcookbookdata-science
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