Raphael Vallat

Lyon, Auvergne-Rhône-Alpes, France

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Summary

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Rockstar

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Top School

Raphael Vallat is a neuroscientist-turned-machine-learning data scientist with nine years of experience building sleep and health algorithms for wearables, currently driving next-generation sleep models at ŌURA. He spent five years as a postdoctoral researcher at UC Berkeley investigating how sleep impacts metabolic and neurodegenerative disease, with work published in top journals and featured in major media. His technical strengths bridge signal processing, ML, and statistics applied to EEG/ECG/PPG/HRV and polysomnography, and he maintains widely used open-source Python libraries—Pingouin, YASA and AntroPy—collectively relied upon by thousands and taught in universities. A summa cum laude cognitive sciences graduate with a PhD in neuroscience, he combines rigorous academic research with production-grade engineering, often improving documentation and core functionality in community projects. Outside work he prioritizes family, music, cooking and the outdoors, bringing a collaborative and human-centered perspective to product science.

9 years of coding experience

Master's degree, Neuroscience, Master's degree, Neuroscience at Université Claude Bernard Lyon 1

Bachelor's degree, Cognitive Sciences, summa cum laude (ranked 1st), Bachelor's degree, Cognitive Sciences, summa cum laude (ranked 1st) at Université Lumière Lyon 2

French, English

Stackoverflow

Stats

519reputation

469kreached

4answers

0questions

Github Skills (9)

python10

documentation10

testing10

statistics6

regression6

pandas6

correlation6

hypothesis-tests6

scikit-learn6

Programming languages (1)

Python

Github contributions (5)

raphaelvallat/pingouin

Mar 2018 - Dec 2022

Statistical package in Python based on Pandas

Role in this project:

Back-end Developer

Contributions:39 releases, 71 reviews, 1039 commits in 4 years 9 months

Contributions summary:Raphael primarily focused on improving the documentation, code, and the overall structure of the project. Their commits added detailed rationales for tests and features, contributing to code clarity. Furthermore, the user made significant changes to functions related to the core functionality of the project.

multiple-comparisonsstatisticspythoncircular-statisticscorrelations

raphaelvallat/yasa_classifier

Jan 2021 - Nov 2021

Contributions:29 commits, 23 pushes, 1 branch in 9 months

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