
Pingouin
Pingouin is an open-source Python statistical package. Learn more on the documentation, check the code on GitHub, or learn how to perform a two-way mixed-design ANOVA.
Postdoctoral fellow
Walker Lab, UC Berkeley
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.
Pingouin is an open-source Python statistical package. Learn more on the documentation, check the code on GitHub, or learn how to perform a two-way mixed-design ANOVA.
The SLEEP module of the Visbrain package is an open-source software for visualization and analysis of sleep polysomnographic data. Learn more on the documentation or read the peer-reviewed publication.
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
EntroPy is an open-source Python package for computing several entropy metrics of EEG time-series. 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