I am a neuroscientist and sleep researcher in the Center for Human Sleep Science at the University of California, Berkeley. My research examines how sleep — or the lack of it — impacts human health. My work has been featured in several news media and podcasts (e.g. New York Times, This Is Your Brain).

In addition, I joined Oura in 2020 as a data science and sleep advisor. There, I have been co-leading the development of the next generation of sleep algorithms.

Beyond sleep, my domains of expertise include machine learning & signal processing, in particular when applied to polysomnography and/or wearable physiological data (e.g. EEG, ECG, PPG, HRV). Part of my research aims at discovering new sleep biomarkers of various human diseases — including diabetes, atherosclerosis and Alzheimer's disease.

I am also a firm believer of open science. I am the creator and core maintainer of several open-source libraries in Python, which are now being used by thousands across the globe: Pingouin (statistics, +500k downloads & taught in several universities), YASA (automatic sleep staging) and AntroPy (complexity of time-series).

When I am not working, you can find me enjoying precious moments with my amazing wife and daughter, playing music, or hiking with friends in beautiful California.

Academics

  • Education

2018-Present 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, Matlab, cloud-computing, Git, Docker
Signal processing Polysomnography (EEG, EKG), structural and functional MRI, accelerometer, photoplethysmography (PPG), heart rate variability (HRV)
Data science Machine-learning, statistical modeling, data processing and visualization
  • 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 June 2022)
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.

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

Tutorials

Please find below some tutorials regarding the analyses I specialize in.

EEG bandpower

Compute the average bandpower of an EEG signal in Python.