Remi Gau is a research software engineer at Inria with nine years of experience at the intersection of neuroscience and reproducible data science. He is a core developer of Nilearn, contributing machine learning, visualization, and statistical tools for neuroimaging in Python, and helps maintain the widely used BIDS standard where he has automated documentation checks and schema validations. Trained as a neuroscientist with a PhD and multiple postdoctoral roles, Remi blends deep domain expertise with pragmatic engineering—improving tooling, pre-commit workflows, and filename/schema consistency to make large-scale neuroimaging projects more reproducible. Based in Brussels, he champions open science and reproducibility, and his work often hides in the details that keep complex research pipelines robust and readable.
9 years of coding experience
1 year of employment as a software developer
Baccalaureate, International, Baccalaureate, International at RCNUWC
Licence, Biology & Physiology, Licence, Biology & Physiology at Université Montpellier II
Doctorate, Neuroscience, Doctorate, Neuroscience at Université Pierre et Marie Curie (Paris VI)
Master 2 research, Neuropsychology, Master 2 research, Neuropsychology at Université Paul Sabatier (Toulouse III)
Master 1, Animal physiology, Master 1, Animal physiology at McGill University
DEUG, Psychology, DEUG, Psychology at Université Montpellier I
Contributions:1 release, 648 reviews, 165 commits in 4 years 2 months
Contributions summary:Remi primarily focused on improving the project's documentation and setting up automated checks. Their contributions involved implementing a script to identify and correct Latin abbreviations within the documentation, ensuring consistency and readability. They also created a script to check the order of entities within schema files. Furthermore, they updated the pre-commit configuration and added a legend for filename templates.
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