Yu Zhang

Canada, China
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Summary

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Senior
Yu Zhang is an IVADO Postdoctoral Fellow and neuroscientist-engineer who applies deep learning to decode cognition and behavior from structural, functional, and diffusion MRI. With a PhD in Pattern Recognition and over nine years of neuroscience research spanning McGill, the Montreal Neurological Institute, and Université de Montréal, he combines rigorous connectivity-focused neuroimaging expertise with hands-on coding in Matlab, R, and Python and familiarity with TensorFlow, Keras, and PyTorch. His work includes modeling dopamine circuits and Parkinson’s-related behaviors and aims toward real-time brain decoding and simulation for improved brain–computer interfaces. Notably, his PhD-era brain parcellation and multi-modal connectivity methods—born from collaborations in China and Germany—continue to influence his deep learning pipelines for predicting human cognition.
code9 years of coding experience
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Github Skills (41)

decoding10
brain-imaging9
pytorch9
python9
graph9
neuroimaging9
graph-convolutional-networks8
graph-neural-network8
deep-learning8
gpu8
machine-learning8
geometric-deep-learning8
neural-network7
tensorflow6
spectral6

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:57 commits, 7 PRs, 57 pushes in 1 year 8 months
SIMEXP/fmri_predict

Jan 2018 - Apr 2019

Contributions:26 commits, 19 pushes, 31 comments in 1 year 2 months
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Yu Zhang