Dr. Bo Wang is a Canada CIFAR Artificial Intelligence Chair at Vector Institute, one of three National AI Institutes, which are the vibrant central hubs of Canada's thriving Artificial Intelligence ecosystem. Dr. Wang will speak about progress made since the Pan-Canadian AI Strategy was released six years ago, how the strategy guides Canadian developments in AI and scGPT, a pre-trained generative transformer developed at U of T, which efficiently extracts key biological insights related to genes and cells.
What you'll learn in this session:
- What is the pan-Canadian AI Strategy?
- What are the key areas that AI can be used for in Canada?
- How is Canada ensuring responsible use of AI?
- What are some examples of responsible development and adoption of AI in Canada?
- What is scGPT and how can I use it?
About Dr. Bo Wang
Canada CIFAR Artificial Intelligence Chair, Vector Institute
Dr. Bo Wang is a tenure-track Assistant Professor in the departments of Computer Science and Laboratory Medicine & Pathobiology at the University of Toronto.
He is the inaugural Temerty Professor in AI Research and Education in Medicine. Dr. Wang leads the AI team at the University Health Network. He also holds a CIFAR AI Chair at Vector Institute.
Dr. Wang obtained his PhD from the Department of Computer Science at Stanford University in 2017. Dr. Wang's research focuses on machine learning, computational biology, and computer vision, with a particular emphasis on their applications in biomedicine. His significant contributions to these fields have led to his recognition through numerous esteemed awards, including the Gairdner Early Career Researcher Award and the (Tier 2) Canada Research Chair Award.
He is the inaugural Temerty Professor in AI Research and Education in Medicine. Dr. Wang leads the AI team at the University Health Network. He also holds a CIFAR AI Chair at Vector Institute.
Dr. Wang obtained his PhD from the Department of Computer Science at Stanford University in 2017. Dr. Wang's research focuses on machine learning, computational biology, and computer vision, with a particular emphasis on their applications in biomedicine. His significant contributions to these fields have led to his recognition through numerous esteemed awards, including the Gairdner Early Career Researcher Award and the (Tier 2) Canada Research Chair Award.