I'm a Cognitive Scientist with a background in computational neuroscience and a strong interest in applying AI to understand the brain and address meaningful societal challenges—particularly in healthcare and education.
Currently, I'm a Research Assistant at NeuroSpin (CEA/Meta), where I combine AI and neuroimaging to decode language from brain activity. I’m involved in collecting MEG/fMRI data, formatting it into reproducible pipelines suitable for AI applications, and performing in-depth neural data analyses.
Previously, I was a Research Engineer at Inria, where I developed a novel method to study social bonding and inter-brain synchrony in children during remote interactions.
- Neuroimaging (fMRI, fNIRS, EEG & MEG)
- Building reproducible and scalable analysis pipelines
- Science communication
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brain-gif-generator
A simple and fast Streamlit app using MNE-Python to create customizable animated GIFs from brain source estimates (.stc files). -
MEG-pipeline
End-to-end MEG analysis pipeline: BIDS conversion, preprocessing, source estimation, brain visualizations. -
fMRI-quickstart
Fast pipeline for 7T fMRI preprocessing using DeepPrep (or fMRIPrep for 3T scans) and GLM analysis.
- M.Sc. in Integrative Biology & Physiology, Sorbonne Université
- B.Sc. in Biology, Sorbonne Université
- Website: https://juliebonnaire.com/
- Email: julie.bonnaire@outlook.fr