I am a French neuroscientist and sleep researcher in the Center for Human Sleep Science (Walker Lab) at the University of California, Berkeley.
My research examines how sleep impacts human behavior and physiology. My work has been featured in several news media and podcasts (e.g. New York Times, Discover Magazine, This Is Your Brain).
I am also passionate about machine learning and algorithm development. I specialize in the analysis of polysomnography and wearable physiological data. For my research, I have created several open-source libraries in Python, which are now being used by thousands across the globe: Pingouin (statistics, +200,000 downloads), YASA (sleep analysis) and AntroPy (signal processing).
Link to my full curriculum vitae (PDF - last updated March 2021)
|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|
|Academic research||Data collection (EEG, functional MRI, online survey, behavioral tasks), sleep scoring|
|Software development||Python, Matlab, R, cloud-computing, Git, Docker|
|Signal processing||Polysomnography (EEG, EOG, EMG, EKG), actigraphy, accelerometer, photoplethysmography (PPG), heart rate variability (HRV)|
|Data science||Machine-learning, statistical modeling, data processing and visualization|
|Neurobiology, undergraduate level (145h)|
|Ethics in medicine, medical school (50h)|
|Neuro-imaging (fMRI analysis), graduate level (~10h)|
|Machine-learning in Python, lab workshop (~20h)|
|Supervision of several undergraduate and postgraduate students|
Please find below a list of selected publications (last updated March 2021)
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.
Please visit my GitHub repository for an exhaustive list of the projects/softwares that I am contributing to.
YASA (Yet Another Spindle Algorithm) is an open-source Python package dedicated to sleep (microstructure) analysis. Among others, it implements several state-of-the-art and validated algorithms to detect spindles, slow-waves, and rapid eye movements. Learn more on the documentation or check the code on GitHub
Please find below some tutorials regarding the analyses I specialize in.
Why do some people remember more of their dreams?
Correlation and significance testing between two or more variables in Python.
A simple and efficient wavelet-based sleep spindles detector in Python.
Compute the average bandpower of an EEG signal in Python.
Two-way mixed-design ANOVA in Python.
Extract and plot functional connectivity matrices from the CONN toolbox second-level results folder (Python and Matlab)
A short guide on how to plot BOLD timeseries of one or two regions of interests (ROIs) from CONN toolbox second-level results folder