Blake Richards
Also known as Blake A. Richards
Blake Richards is a neuroscientist and AI researcher whose papers connect biological learning with machine intelligence. He earned a degree in cognitive science and artificial intelligence at the University of Toronto in 2004, completed a neuroscience doctorate at the University of Oxford in 2010 and held a Banting postdoctoral fellowship at SickKids from 2011 to 2013. He coauthored work on segregated dendrites in 2016, received a CIFAR Canada AI Chair in 2018, won the Canadian Association for Neuroscience Young Investigator Award in 2019 and received the Arthur B. McDonald Fellowship in 2022. His later work included a 2025 study of language-model representations and a 2026 paper on brain-inspired AI efficiency, and as of October 2026 he is a research scientist with Google's Paradigms of Intelligence team, a part-time associate professor at McGill and a core faculty member at Mila.
- Now at
- Google, McGill University and Mila
Timeline
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2004–2013
Degrees and postdoctoral work
He earns a BSc in cognitive science and AI at the University of Toronto in 2004, completes a neuroscience PhD at the University of Oxford in 2010, and is a Banting Postdoctoral Fellow at SickKids Hospital from 2011 to 2013.
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2016–2017
Towards deep learning with segregated dendrites
He coauthors “Towards deep learning with segregated dendrites” in 2016. The paper shows that deep learning can be achieved with segregated dendritic compartments.
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2018
A CIFAR Canada AI Chair
He receives a CIFAR Canada AI Chair in 2018.
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2019
A neuroscience and AI award
He wins the Canadian Association for Neuroscience Young Investigator Award in 2019 for work at the intersection of neuroscience and AI.
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2022
An Arthur B. McDonald Fellowship
He receives the NSERC Arthur B. McDonald Fellowship in 2022.
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2025
Language-model representations
In 2025, he coauthors “Tracing the Representation Geometry of Language Models from Pretraining to Post-training,” using spectral methods to examine how language-model representations change during pretraining.
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2026
Brain-inspired energy efficiency
He coauthors “Looking to the brain to improve energy efficiency of AI” in 2026. The article describes the energy cost of training and running large-scale models as an environmental, economic and social challenge.
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As of October 2026
Google and McGill roles
He is a research scientist with Google's Paradigms of Intelligence team, a part-time associate professor at McGill University and a core faculty member at Mila. His research connects neuroscience with AI through questions about learning in natural and artificial agents.
Career
- NowGoogleResearch Scientist
- NowMcGill UniversityPart-Time Associate Professor
- NowMilaCore Faculty Member
- 2011–2013Hospital for Sick ChildrenBanting Postdoctoral Fellow
Education
- 2010University of OxfordPhD in Neuroscience
- 2004University of TorontoBSc in Cognitive Science and AI
Sources and credits
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- Blake Richards, PhD | The Neuro - McGill University
- Towards deep learning with segregated dendrites | arXiv
- Blake Richards is the 2019 CAN Young Investigator awardee | Canadian Association for Neuroscience
- Tracing the Representation Geometry of Language Models from Pretraining to Post-training | Google Research
- Looking to the brain to improve energy efficiency of AI | Google Research
- Blake Richards wins Schmidt Sciences Polymaths Award | Research and Innovation - McGill University
- Blake Richards | Google Research
