Romain Menegaux
Senior Research Scientist at GenBio AI
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolRomain Menegaux is a Senior Research Scientist based in Paris with 11 years of experience at the intersection of machine learning and computational biology. He combines deep academic training (PhD-level work at MINES ParisTech) and postdoctoral research at Inria with hands-on engineering roles, including a current research lead position at GenBio AI. His background spans both research and production: from quantitative research at Bloomberg and an applied scientist internship at Amazon to software development at QuantStack where he contributed front-end improvements to the popular bqplot Jupyter plotting library. Romain’s work blends algorithmic rigor with practical tooling—he has implemented visualization widgets and UI-focused fixes that improve data presentation for notebooks, a detail that highlights his eye for usable ML tooling. Comfortable navigating academic publications and open-source codebases alike, he brings a pragmatic research mindset to translational AI problems in biology.
11 years of coding experience
9 years of employment as a software developer
Master’s Degree, Master’s Degree at École PolytechniqueMaster’s Degree, Master’s Degree at Columbia University in the City of New York
Github Skills (8)
javascript10
visualization10
d3js10
visualizations10
front-end-development10
ipython8
css8
jupyter8
Programming languages (5)
Github contributions (5)
bqplot/bqplot
Jan 2015 - May 2020
Plotting library for IPython/Jupyter notebooks
Role in this project:
Front-end Developer
Front-end DeveloperContributions:247 commits, 117 PRs, 50 pushes in 5 years 4 months
Contributions summary:Romain primarily focused on front-end development tasks within the bqplot/bqplot repository. Their contributions included fixing styling issues, particularly with selected elements, and addressing styling bugs, suggesting a focus on visual presentation. The user also contributed to the creation of a Pie widget, adding features such as labels and options for different interactions and data presentations. Further work involved adding functionality to the scatterplot and adding features like a rotation scale.
ipythonjupyter-notebookvisualizationsjupyter
rmenegaux/bqplot
Oct 2015 - May 2020
Plotting library for IPython/Jupyter Notebooks
Contributions:4 PRs, 121 pushes, 116 branches in 4 years 7 months
ipythonjupyter-notebook
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