Randy McIntosh is professor and BC leadership chair in neuroscience and technology transfer across the lifespan, and director of the Institute for Neuroscience and Neurotechnology, at Simon Fraser University. He holds a Ph.D. in psychology and neuroscience with a strong background in statistics. His research journey began at the Rotman Research Institute at the University of Toronto, where he developed a keen interest in understanding aging and cognition. McIntosh is the co-lead for the team that created The Virtual Brain (thevirtualbrain.org), a groundbreaking platform that unites global research efforts.
Randy McIntosh
Director, Institute for Neuroscience and Neurotechnology
Simon Fraser University
Selected articles
- “Partial least squares analysis of neuroimaging data: Applications and advances” | NeuroImage
- “Contexts and catalysts: A resolution of the localization and integration of function in the brain” | Neuroinformatics
- “Emerging concepts for the dynamical organization of resting-state activity in the brain” | Nature Reviews Neuroscience
- “Resting brains never rest: Computational insights into potential cognitive architectures” | Trends in Neurosciences
- “The hidden repertoire of brain dynamics and dysfunction” | Network Neuroscience
Explore more from The Transmitter
A change at the top of SfN as neuroscientists gather in San Diego
Kevin B. Marvel, longtime head of the American Astronomical Society, will lead the Society for Neuroscience after a year of uncertainty in the neuroscience field.
A change at the top of SfN as neuroscientists gather in San Diego
Kevin B. Marvel, longtime head of the American Astronomical Society, will lead the Society for Neuroscience after a year of uncertainty in the neuroscience field.
How will neuroscience training need to change in the future?
Training in computational neuroscience, data science and statistics will need to expand, say many of the scientists we surveyed. But that must be balanced with a more traditional grounding in the scientific method and critical thinking. Researchers noted that funding concerns will also affect training, especially for people from underrepresented groups.
How will neuroscience training need to change in the future?
Training in computational neuroscience, data science and statistics will need to expand, say many of the scientists we surveyed. But that must be balanced with a more traditional grounding in the scientific method and critical thinking. Researchers noted that funding concerns will also affect training, especially for people from underrepresented groups.
The leaders we have lost
Learn more about the lives and legacies of the neuroscientists who passed away between 2023 and 2025.
The leaders we have lost
Learn more about the lives and legacies of the neuroscientists who passed away between 2023 and 2025.