Portrait of Marco Bonizzato

Marco Bonizzato

Associate Academic Member
Assistant Professor, Polytechnique Montréal, Department of Electrical Engineering
Adjunct Professor, Université de Montréal, Department of Neurosciences

Biography

Marco Bonizzato is a control, electrical and life sciences engineer with over ten years’ experience in implantable brain-computer interfaces and neuromodulation technology. He has unique double expertise in (a) neural prostheses, and (b) machine intelligence and optimization.

Bonizzato is an assistant professor of electrical engineering at Polytechnique Montréal and an adjunct professor of neuroscience at Université de Montréal.

He also directs the Polytechnique’s sciNeurotech Lab, whose research goal is to develop the entire translational arc of new neurostimulation therapies aimed at restoring sensorimotor function after neurotrauma—from discovery in rodents to application in human medical technologies tailored and personalized to the user using AI.

Current Students

Master's Research - Polytechnique Montréal
Co-supervisor :
Master's Research - Polytechnique Montréal
Co-supervisor :
Collaborating researcher - Polytechnique Montréal
Co-supervisor :

Publications

Gaussian-process-based Bayesian optimization for neurostimulation interventions in rats
Léo Choinière
Rose Guay-Hottin
Rémi Picard
Numa Dancause
Invasive Brain Computer Interface for Motor Restoration in Spinal Cord Injury: A Systematic Review.
Jordan J. Levett
Lior M. Elkaim
Farbod Niazi
Michael H. Weber
Christian Iorio-Morin
Alexander G. Weil
Autonomous optimization of neuroprosthetic stimulation parameters that drive the motor cortex and spinal cord outputs in rats and monkeys
Rose Guay Hottin
Sandrine L. Côté
Elena Massai
Léo Choinière
Uzay Macar
Samuel Laferrière
Parikshat Sirpal
Stephan Quessy
Marina Martinez
Numa Dancause
Use of Invasive Brain-Computer Interfaces in Pediatric Neurosurgery: Technical and Ethical Considerations
David Bergeron
Christian Iorio-Morin
Nathalie Orr Gaucher
Éric Racine
Alexander G. Weil
Implementing automation in deep brain stimulation: has the time come?
Alfonso Fasano