I am a French scientist specialized in sleep and dream research.
I am currently a postdoctoral researcher in Matthew Walker's lab at UC Berkeley. My research aims at studying the impact of sleep — or lack thereof — on human health and decision-making. Before that, I obtained a PhD in Neuroscience at the University of Lyon, France. My doctoral project aimed at understanding the neural correlates of dream recall i.e. how and why we sometimes recall our dreams and sometimes forget them.
I also have a strong interest in statistics, machine-learning, and signal processing. I created several open-source Python libraries that are under active development: Pingouin (statistics, +80,000 downloads), YASA (sleep analysis) and EntroPy (signal processing).
|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|
|Methods||Polysomnography, sleep studies, actigraphy, ECG, resting-state and task-based fMRI, combined EEG-fMRI, behavior|
|Analysis||Signal processing, sleep staging, statistics, machine-learning|
|Programming||Python, Matlab, SPM, CONN Toolbox, R, FSL, HTML, LateX, Shell, PsychoPy|
|Neurobiology / Neuroanatomy, 1st and 2nd year of Biology major (145h)|
|Ethics in medicine, 1st year of Medicine (50h)|
|Neuro-imaging (fMRI analysis), postgraduate course in Neuroscience (~10h)|
|Machine-learning in Python, lab workshop (~20h)|
|Supervision of several undergraduate and postgraduate students|
Please find below a list of publications (last updated June 2020)
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
SleepViz is the (deprecated) MATLAB prototype of SLEEP. Click here for a quick start guide.
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