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I am an associate professor at the department of Psychology of University of Montreal and the principal investigator of the laboratory for brain simulation and exploration (SIMEXP) at the Montreal Geriatrics Institute (CRIUGM). I recently joined Mila (Quebec AI research institute) as affiliated member, and I supervise students in computer science (cognitive computational neuroscience) at DIRO, University of Montreal.

My main research interest is to train artificial neural networks in order to jointly mimic individual human brain activity and behaviour. To achieve that goal, I lead an intensive effort of individual data collection in neuroimaging (fMRI, MEG), the Courtois project on neuronal modelling (CNeuroMod). The SIMEXP lab also applies machine learning techniques to identify robust markers of brain disorders in multisite data, most notably as part of the Canadian Consortium on Neurodegeneration in Aging (CCNA). I am a Senior FRQS chercheur boursier, a member of the Quebec alliance for Unifying Neuroscience and AI (UNIQUE), and the scientific director of the Functional Neuroimaging Unit (UNF) at CRIUGM.

Finally, I am an open science enthusiast, and I regularly contribute to Brainhack, Brainhack school, the Canadian Open Neuroscience Platform, the open science SIG, and a number of open source software librairies.

You can find a list of my publications on google scholar and contact me by email, on Mastodon or on the Brainhack mattermost.

Pierre Lune Bellec's Projects

black icon black

The uncompromising Python code formatter

docsify icon docsify

🃏 A magical documentation site generator.

how-to-autorl icon how-to-autorl

Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to efficiently tune RL hyperparameters.

hugo-terrassa-theme icon hugo-terrassa-theme

Terrassa is a simple, fast and responsive theme for Hugo with a strong focus on accessibility.

joss icon joss

The Journal of Open Source Software

nilearn icon nilearn

Machine learning for NeuroImaging in Python

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