I am a French research scientist specialized in sleep and dreaming.
I obtained in December 2017 a PhD in neuroscience, with honors, from Lyon 1 University. My doctoral project was conducted with Dr. Perrine Ruby, and aimed at understanding how and why we sometimes recall our dreams and sometimes forget them, using several approaches such as EEG, fMRI and dream content analysis. Since Feb 2018, I am working with Pr. Matthew Walker, at U.C Berkeley, studying the impact of sleep deprivation on the brain.
I also have a strong research interest in statistics and signal processing. I am the (co)-founder of two Python open-source packages which are currently under development: Sleep (sleep scoring and analysis, part of the Visbrain suite) and Pingouin (statistics).
raphaelvallat9 [at] gmail.com
Center for Human Sleep Science (Walker Lab)
University of California, Berkeley
I am very happy to introduce my new open-source Python package, called Pingouin. Pingouin is born out of a personal need to reduce and simplify the number of steps in my statistical analyses. Pingouin provides simple and easy-to-grasp statistical functions for computing ANOVA, post-hoc tests, robust correlations, Bayes factors and effect sizes. Pingouin is based on Pandas and therefore allows to leverage the power of this latter. Learn more on the documentation or check the code on GitHub.
I am thrilled to announce that I will join Pr. Matthew Walker at U.C Berkeley (USA) for a two-years post-doctoral position starting February 2018.
Link to my full curriculum vitae (pdf format - last updated April 2018)
|2018-Present||Postdoctoral fellow, Walker lab, U.C. Berkeley|
|2014-17||PhD in Neuroscience, with honors, Lyon 1 University||2012-14||Master degree in Neuroscience, cum laude, Lyon 1 University|
|2009-12||Bachelor degree of Cognitive Sciences, summa cum laude (ranked 1st), Lyon 2 University|
|Methods||Polysomnography, sleep studies, combined EEG-fMRI, resting-state fMRI, behavioural studies|
|Analysis||Sleep scoring, ERP, EEG and fMRI signal processing, functional and connectivity MRI analyses, dream content analysis|
|Programming||Python, Matlab, CONN Toolbox, SPM, FSL, HTML, LateX, Shell, R, PsychoPy|
|Neurobiology / Neuroanatomy, 1st and 2nd year of Bachelor Degree in Biology (145h)|
|Social science, 1st year of Medicine (50h)|
|Neuro-imaging (fMRI analysis), Neuroscience Master degree (~10h)|
|Elected representative of the doctoral students in Lyon Neuroscience Research Center council|
|Organizer of the Doctoral Day of the Lyon Federative Research Structure in Health|
|Invited oral presenter for a general public conference on sleep and dreams (1h, at Lyon town hall)|
|Organizer of a thematic week on neuroscience for 6 high-school students|
|Organizer and chairman of "Les Saisons du CRNL" conference on neurosciences and society|
Please find below a list of publications (last updated March 2017)
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 find below some tutorials regarding the analyses I specialize in.
Two-way mixed-design ANOVA in Python using the Pingouin package.
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