I am a neuroscientist specialized in sleep, health and wearables. I currently work as a Staff Machine-Learning Data Scientist at ŌURA, where I build the next generation of health-tracking algorithms. Prior to joining Oura, I was a postdoctoral researcher in the Center for Human Sleep Science at UC Berkeley (Prof. Matt Walker's lab). My research examined how sleep — or the lack of it — impacts human health and diseases such as diabetes, atherosclerosis and Alzheimer's disease. My work has been published in top-tier journals and featured in several major news media.

My domains of expertise include machine-learning, statistics and signal processing, particularly when applied to polysomnography or wearable physiological data (e.g. EEG, ECG, PPG, HRV).

I firmly believe in open science. I am the creator and core maintainer of several open-source libraries in Python, which are used by thousands of people across the globe: Pingouin (statistics, +1M downloads & taught in several universities), YASA (automatic sleep staging) and AntroPy (complexity of time-series).

In my free time, you can find me enjoying precious moments with my wife and daughter, playing music with friends, cooking, or spending time outdoors.

Academics

  • Education

2018-23 Postdoctoral researcher, Center for Human Sleep Science (Walker lab), University of California, Berkeley
2014-17 PhD in Neuroscience, with honors, Lyon 1 University, France
2012-14 Master degree in Neuroscience, cum laude, Lyon 1 University, France
2009-12 Bachelor degree of Cognitive Sciences, summa cum laude (ranked 1st), Lyon 2 University, France

  • Expertise

Software development Python, R, SQL, cloud-computing (AWS), Git, Docker
Signal processing Wearable sensors (accelerometer, photoplethysmography, temperature), heart rate variability (HRV), polysomnography (EEG, ECG), structural and functional MRI,
Data science ML and deep learning, statistical modeling, data processing and visualization, time-series analysis

  • Teaching

Machine-learning in Python, graduate level (UC Berkeley)
Mentoring of several undergraduate and postgraduate students (UC Berkeley)
Neurobiology, undergraduate level (Lyon University)
Ethics in medicine, medical school (Lyon University)
Neuro-imaging (fMRI), graduate level (Lyon University)

Publications

Please find below a list of selected publications (last updated May 2025)
PDF versions are provided for individual, noncommercial purposes only. These files may not be reposted without permission. Copyright and all rights therein resides with the respective copyright holders, as stated within each paper.

Media outreach

Software development

Please visit my GitHub repository for an exhaustive list of the projects/softwares that I am contributing to.

Pingouin

Pingouin is an open-source Python package for statistics. It is built on top of Pandas and NumPy and provides high-level functions to perform the most common statistical tests. Learn more on the documentation or check the code on GitHub

YASA

YASA (Yet Another Spindle Algorithm) is an open-source Python package for sleep analysis. It implements several state-of-the-art and validated algorithms to score sleep stages, detect spindles & slow-waves, and calculate features from sleep polysomnography recordings. Learn more on the documentation or check the code on GitHub