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Happy Hacktober !
🎃
Happy Hacktober !

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@nilearn @openjournals @ME-ICA @neurolibre @ohbm-comcom

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emdupre/README.md

Hi there 👋

I'm a postdoctoral researcher in the SIMEXP lab, affiliated with CRIUGM and Université de Montréal. My current research focuses on applying functional alignment techniques to overcome distribution shifts in high-dimensional, naturalistic datasets.

I'm an open science enthusiast, particularly in developing tools and methods that make it easier to do open and reproducible work. I've contributed to several projects across the open neuroimaging ecosystem and currently serve as a core contributor to nilearn.

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  1. nilearn/nilearn nilearn/nilearn Public

    Machine learning for NeuroImaging in Python

    Python 1.2k 600

  2. Parietal-INRIA/fmralign Parietal-INRIA/fmralign Public

    Functional alignment and template estimation library for functional Magnetic Resonance Imaging data

    Python 20 7

  3. neurodatascience/fmralign-benchmark neurodatascience/fmralign-benchmark Public

    Code for the recent paper "An empirical evaluation of functional alignment using inter-subject decoding."

    Python 19 4

  4. bayes-ca bayes-ca Public

    Hierarchical Bayesian changepoint analysis

    Jupyter Notebook 1