Researcher

Marco Bonizzato

Marco Bonizzato is an engineer whose AI research uses optimization to personalize neurostimulation for movement recovery. He completes an electrical-engineering PhD at EPFL in 2017 on brain-controlled neuroprosthetic treatment after spinal trauma. His 2018 and 2021 studies connect cortical activity with neural stimulation to support walking after spinal trauma. He receives the 2022 Turnbull-Tator Award for an intracortical neuroprosthesis paper and coauthors 2023 research on autonomous neurostimulation optimization. As of October 2026, he is an assistant professor of electrical engineering at Polytechnique Montréal, a professor of neuroscience at Université de Montréal, and an associate academic member of Mila.

Now at
Polytechnique Montréal, Mila and sciNeurotech Lab

Timeline

  1. 2017

    An EPFL PhD on neuroprosthetics

    He completes an electrical-engineering PhD at EPFL in 2017 on brain-controlled neuroprosthetic interventions to restore walking after spinal trauma in rats, under S. Micera and G. Courtine.

  2. 2018

    A brain-controlled neuroprosthesis

    In 2018, he coauthors a study that links cortical activity to spinal stimulation; after brief calibration and without prior training, the interface enables paralyzed rats to walk overground and adjust foot clearance.

  3. 2021

    Decoding intent for walking

    In 2021, he coauthors a study that combines deep brain and epidural spinal stimulation in rats with severe spinal trauma. An unsupervised learning algorithm decodes cortical activity to link stimulation to intent to walk.

  4. 2022

    A Turnbull-Tator Award

    He receives the 2022 Turnbull-Tator Award for his coauthored 2021 Science Translational Medicine paper on an intracortical neuroprosthesis that improves walking and leg control after spinal trauma.

  5. 2023

    Autonomous neurostimulation optimization

    In 2023, he coauthors a study showing that artificial intelligence can autonomously optimize stimulation parameters in implanted brain neuroprostheses in animals. The team uses learning algorithms to tune protocols and personalize treatment to each patient's state.

  6. 2025–2026

    A neurotechnology platform

    For the 2025–2026 UNIQUE competition, he serves as principal investigator for the Neurotechnology platform at Université de Montréal.

  7. As of October 2026

    Professorships at Polytechnique and UdeM

    As of October 2026, he is an assistant professor of electrical engineering at Polytechnique Montréal and a professor of neuroscience at Université de Montréal. He is an associate academic member of Mila and directs sciNeurotech Lab, which aims to develop AI-personalized neurostimulation therapies for sensorimotor recovery.

Career

  1. Since 2025Université de MontréalPrincipal Investigator, Neurotechnology Platform
  2. NowPolytechnique MontréalAssistant Professor of Electrical Engineering
  3. NowMilaAssociate Academic Member
  4. NowsciNeurotech LabDirector

Education

  1. 2017EPFLPhD in Electrical Engineering

Sources and credits

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  1. Brain-controlled neuroprosthetic interventions memento.epfl.ch. Checked 21 October 2026.
  2. Brain-controlled modulation of spinal circuits nature.com. Checked 21 October 2026.
  3. Multi-pronged neuromodulation intervention engages residual motor circuitry nature.com. Checked 21 October 2026.
  4. Marco Bonizzato remporte le Prix Turnbull-Tator 2022 - UdeMNouvelles nouvelles.umontreal.ca. Checked 21 October 2026.
  5. Des neuroprothèses intelligentes pour retrouver la motricité | UdeMNouvelles nouvelles.umontreal.ca. Checked 21 October 2026.
  6. 2025-2026 UNIQUE competition: technology platforms unique.quebec. Checked 21 October 2026.
  7. Marco BONIZZATO - La recherche - Université de Montréal recherche.umontreal.ca. Checked 21 October 2026.
  8. Marco Bonizzato | Mila mila.quebec. Checked 21 October 2026.