Maged Goubran
Scientist at Sunnybrook
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolMaged Goubran is a scientist and computational neuroscientist with a decade of experience applying AI, neuroimaging, connectomics, and neuromodulation to clinical and research problems. He holds a PhD in Biomedical Engineering from Western University and completed postdoctoral training at Stanford, translating advanced imaging and computational methods into neuroscience insights. Since 2019 he has split his time between Sunnybrook and the University of Toronto as a scientist and assistant professor, bridging hospital-driven clinical research with academic training. His work blends algorithm development with practical neurotechnology, aiming to map and modulate brain networks for therapeutic impact. Colleagues note his rare combination of deep technical rigor and clinician-facing translational focus, enabling high-impact collaborations across imaging, modelling, and neuromodulation. Based in Old Toronto, he brings a research-first mindset to multidisciplinary teams seeking data-driven advances in brain health.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering, Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering at Western UniversityStanford University
English, French, Arabic
Github Skills (14)
neuroscience10
image-segmentation10
artificial-intelligence10
deep-learning10
multimodal10
segmentation10
image-registration10
connectivity10
neuroimaging10
microscopy10
image-processing10
mri10
medical-imaging9
algorithm8
Programming languages (1)
Github contributions (5)
AICONSlab/HippMapp3r
Dec 2018 - Mar 2022
AICONSlab's hippocampal segmentation algorithm using CNNs
Contributions:1 release, 67 commits, 2 PRs in 3 years 3 months
segmentationneuroscienceneuroimagingbrainmri
mgoubran/MeuralPaint
Jun 2017 - Oct 2017
Contributions:77 commits, 26 pushes, 1 branch in 4 months
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