Portrait of Brokoslaw Laschowski

Brokoslaw Laschowski

Neurorehabilitation Team

KITE CRANIA

Brokoslaw Laschowski KITE CRANIA

Dr. Brokoslaw Laschowski is a machine learning researcher and computational neuroscientist. He is a Research Scientist and Principal Investigator at the University Health Network and an Assistant Professor at the University of Toronto. He also directs the Machine Intelligence Lab, an interdisciplinary research lab working at the intersection of machine learning, neuroscience, and artificial intelligence. His long-term vision is to develop a computational understanding of intelligence.

Toward this vision, he develops computational models of learning, perception, decision-making, and control, which provide the foundation for (1) reverse-engineering intelligence and (2) building thinking machines. His research spans representation learning, neural networks, deep learning, computer vision, and reinforcement learning.

This research has resulted in publications in leading journals and conferences, invited talks at institutions such as Microsoft Research, best paper awards, and external grant funding. His research has been featured in Forbes, BBC, and Science Magazine, and highlighted in a keynote address by Jensen Huang—Founder and CEO of NVIDIA—and showcased to the President of South Korea.

In addition to his research, Dr. Laschowski leads interdisciplinary teams across computer science, engineering, neuroscience, and mathematics. He is an Associate Editor for Frontiers in Computational Neuroscience and has organized workshops at top international conferences such as NeurIPS. He also directs the University of Toronto’s summer research program in computer science for displaced students from Ukraine, in partnership with the Vector Institute for Artificial Intelligence.


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  • Assistant Professor, Mechanical Engineering, University of Toronto
  • Research Scientist and Principal Investigator, University Health Network
  • Faculty Member, Robotics, University of Toronto
  • Faculty Member, Neuroscience, University of Toronto
  • Machine Learning
  • Neural Networks
  • Reinforcement Learning
  • Deep Learning
  • Artificial Intelligence
  • Computational Neuroscience
  • Computer Vision