GitHub

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. Machine learning for NeuroImaging in Python

    Python 1.4k 673

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

    Python 39 10

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

    Python 20 4

  4. Hierarchical Bayesian changepoint analysis

    Jupyter Notebook 1

Read the original on github.com ↗