Marianne Corvellec
Data Scientist
Strasbourg, Grand Est, France
Summary
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RockstarMarianne Corvellec is a data scientist based in Strasbourg with 13 years of experience building data-first tools, educational resources, and production-ready software. She blends back-end engineering and front-end polish—contributing to high-profile open-source projects like Plotly/Dash, plotly.js and Voilà—while also improving teaching materials for the scientific Python community. Her work spans converting complex ggplot semantics to interactive Plotly visuals, refining core Dash components, and extending notebook-to-app workflows for reveal.js presentations. Marianne’s contributions show a strong focus on code quality, maintainability, and reproducible education, often tackling deprecations, documentation, and cross-language integration. Notably, she repeatedly moves between writing user-facing examples and deep implementation details, making her effective at turning research-friendly prototypes into robust, sharable tools.
14 years of coding experience
Github Skills (32)
data-visualizations10
javascript10
3d-graphics10
python10
jupyter10
image-processing10
sphinx10
r10
charts10
package-development10
chartist10
configuration-management10
data-visualisation10
scikit-image10
chartjs10
Programming languages (15)
Github contributions (5)
plotly/dash-bio
Dec 2018 - Mar 2020
Open-source bioinformatics components for Dash
Role in this project:
Front-end Developer
Front-end DeveloperContributions:460 commits, 112 PRs, 262 pushes in 1 year 3 months
Contributions summary:Marianne contributed to the project by merging master branch into their development branch. The code differences show changes in the `dash_bio/bundle.js` file, indicating the user was likely working on changes to the JavaScript bundle that contains the core functionality and the components for the project.
bioinformaticsbiojsdash
scikit-image/scikit-image
Aug 2012 - Jan 2023
Image processing in Python
Role in this project:Software Engineer
Software EngineerContributions:1329 reviews, 134 commits, 203 PRs in 10 years 6 months
Contributions summary:Marianne primarily contributed to the scikit-image library by addressing various issues related to image processing. Their work included fixing deprecated functions and layout problems in existing code. They also improved documentation through updates to docstrings and code style. Additionally, they implemented changes in both core algorithm files as well as example scripts, demonstrating a strong grasp of the project's codebase.
image-processingpythoncomputer-vision
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