Pouya Bashivan
Assistant Professor at McGill University
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolPouya Bashivan is an Assistant Professor in Physiology at McGill University with 11 years of experience bridging computational neuroscience, machine learning, and engineering. His trajectory spans industry control-systems and programming roles to postdoctoral research at MIT and Université de Montréal, culminating in an academic appointment focused on neural data and computation. He holds a PhD from The University of Memphis and brings practical systems-thinking from earlier engineering positions in energy and industrial firms. Pouya’s work combines rigorous experimental neuroscience with advanced computational modeling, reflecting fluency in both hardware-oriented control problems and data-driven research. Based in Montreal, he is known for translating complex neurophysiological questions into tractable computational frameworks and for mentoring cross-disciplinary students. An interesting throughline in his career is the movement from hands-on electrical/control engineering into high-level brain computation, giving him a rare practical perspective on experimental and analytical challenges.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at The University of MemphisB.Sc., B.Sc. at K.N.Toosi University of Technology
English, Persian, French
Github Skills (34)
python10
data-science10
classification10
machine-learning10
ml10
deep-learning10
tensorflow10
adversarial-learning10
deep-neural-networks10
robustness10
neural-network10
toolbox9
adversarial-attacks9
security9
benchmarking9
Programming languages (3)
Github contributions (5)
pbashivan/EEG_CNN
Oct 2015 - Jan 2016
Contributions:6 commits, 3 pushes, 1 branch in 2 months
pbashivan/EEGLearn
Jan 2016 - Jul 2020
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Contributions:26 commits, 1 PR, 22 pushes in 4 years 6 months
mentalsuperviseddeep-learningfeature-learningeeg
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