John Griffiths

Scientist at University of Toronto - Department of Psychiatry

Old Toronto, Ontario, Canada
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Summary

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John Griffiths is a scientist and computational neuroimaging researcher with 14 years of experience studying brain networks and dynamics across aging and psychiatric conditions. Holding a PhD in Cognitive Neuroimaging from Cambridge, he combines academic roles (Assistant Professor at University of Toronto) with applied research at the Krembil Centre for Neuroinformatics, bridging theory and translational neuroimaging. His work spans eigenmode analyses, human brain dynamics, and multimodal MRI/EEG methods, informed by postdoctoral stints at leading Canadian institutes and a visiting fellowship in neural field theory. John contributes to open-source neurotech tooling and documentation—improving accessibility to EEG experiments in Python—which underscores his emphasis on reproducible methods. Based in Toronto, he brings a rare mix of theoretical modeling, hands-on neuroimaging pipelines, and clear technical communication to cross-disciplinary teams.
code14 years of coding experience
job2 years of employment as a software developer
bookPhD, Cognitive Neuroimaging, PhD, Cognitive Neuroimaging at University of Cambridge
bookMSc, Cognitve Neuroscience, MSc, Cognitve Neuroscience at University of York
bookBSc, Psychology & Philosophy, BSc, Psychology & Philosophy at University of Warwick
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Stackoverflow

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12questions
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Github Skills (13)

rs10
restructuredtext10
documentation10
jupyter-notebook9
html6
pandas6
latex6
ipython6
reveal-js6
pdflatex6
amazon-s36
python6
gamma-distribution6

Programming languages (11)

DockerfileC++CSSSCSSTeXJavaScriptPHPHTML

Github contributions (5)

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NeuroTechX/EEG-ExPy

Aug 2020 - Jan 2023

EEG Experiments in Python
Role in this project:
userTechnical Writer
Contributions:25 reviews, 327 commits, 117 PRs in 2 years 5 months
Contributions summary:John primarily focused on updating the README.rst file, making several revisions to improve the presentation and clarity of the project's documentation. These updates included fixing image locations, adding installation instructions, incorporating binder and colab buttons for easier access, and adding instructions and a troubleshooting section. The user also set the version to 0.2.
python
JohnGriffiths/whobpyt

May 2022 - Sep 2025

Whole-Brain Modelling in PyTorch
Contributions:2 PRs, 103 pushes, 47 branches in 3 years 4 months
deep-learningpytorchbrainmodelling
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