Skip to content
CIFAR header logo
fr
menu_mobile_logo_alt
  • Our Impact
    • Why CIFAR?
    • Impact Clusters
    • News
    • CIFAR Strategy
    • Nurturing a Resilient Earth
    • AI Impact
    • Donor Impact
    • CIFAR 40
  • Events
    • Public Events
    • Invitation-only Meetings
  • Programs
    • Research Programs
    • Pan-Canadian AI Strategy
    • Next Generation Initiatives
  • People
    • Fellows & Advisors
    • CIFAR Azrieli Global Scholars
    • Canada CIFAR AI Chairs
    • AI Strategy Leadership
    • Solution Network Members
    • Leadership
    • Staff Directory
  • Support Us
  • About
    • Our Story
    • Awards
    • Partnerships
    • Publications & Reports
    • Careers
    • Equity, Diversity & Inclusion
    • Statement on Institutional Neutrality
    • Research Security
  • fr
Canada CIFAR AI Chairs

From research to real-world impact

By: Justine Brooks
3 Jun, 2025
June 3, 2025
250528-ambitious-ai-article-1920x1080

Canada CIFAR AI Chairs are spearheading AI applications for real-world impact

Artificial intelligence is transforming industries and reshaping ideas. Across sectors such as life sciences, industrial automation, virtual environments and healthcare, Canada CIFAR AI Chairs are at the helm of startups and ventures that are translating cutting-edge research into tools, products and platforms with global reach.

CIFAR is exploring some of the many researchers that are growing Canada’s ecosystem through tangible, high-impact applications.

Adaptable AI for industry

Martha White and Adam White; Amii, University of Alberta
Canada CIFAR AI Chairs

Martha White and Adam White co-founded RL CORE which utilizes reinforcement learning across industrial control processes to enable automation and adaptation in their deployment. With real-time analysis, plant processes are continually adapted to optimize operations, freeing up operators to focus on maintenance and emergency responses. Their work has already been successfully deployed in three water and wastewater treatment plants across Alberta and British Columbia. 

Accelerating research in life sciences 

Marc Bellemare; Mila, McGill University
Canada CIFAR AI Chair

Marc Bellemare co-founded Reliant AI to streamline and enhance the cumbersome process of literature reviews, competitive landscaping and other analyses. Using a large language model, their flagship product, Tabular, uses a specialized language model to cut down review times by 85 per cent – unlocking deeper insights from literature, competitive analysis and beyond. Their model is designed specifically for life sciences, which increases the accuracy and relevance of data extracted. Bellemare’s work with Reliant AI has the potential to transform scientific approaches to research processes, enabling users to make better data-informed decisions and streamline their work.

Creating virtual worlds

Sanja Fidler; Vector Institute, University of Toronto
Canada CIFAR AI Chair

Sanja Fidler serves as Vice President of AI Research at NVIDIA, leading the NVIDIA Spatial Intelligence Lab based in Toronto. Her work combines machine learning, computer vision and

 computer graphics for applications in robotics, self-driving cars, video games and entertainment. Her lab is primarily focused on the creation and realistic simulation of virtual worlds using AI and physics. This allows physical AI developers to train and test their models in simulation, significantly speeding up the development-to-deployment cycle.

Accelerating drug discovery

Bo Wang; Vector Institute, University of Toronto
Canada CIFAR AI Chair

Bo Wang recently joined Xaira Therapeutics as Senior Vice President and Head of Biomedical AI. Wang brings his expertise in AI-driven biomedical research to the company to help advance understanding of the molecular basis of difficult diseases and match novel treatments to the patients most likely to respond. Solving these major challenges could help accelerate drug discovery and drive the development of new treatments for patients in need.

Smarter health care

Anna Goldenberg; Vector Institute, University of Toronto
Canada CIFAR AI Chair

Anna Goldenberg is a Senior Scientist and Varma Family Chair in Biomedical Informatics and AI at the SickKids Research Institute. Goldenberg is developing machine learning methods that can identify mechanisms of complex human diseases as well as creating risk prediction and early warning clinical systems. Her work also focuses on addressing fundamental issues such as high error rates and lack of model explainability that prevent AI’s potential from being fully realized in medical care.

  • Follow Us

Related Articles

  • New and returning AI talent at CIFAR
    July 03, 2025
  • CIFAR announces first AI safety Catalyst Grants under new national program
    June 04, 2025
  • Strengthening Canada’s AI talent ecosystem
    April 16, 2025
  • CIFAR funds seven high-risk, high-reward AI projects
    March 04, 2025

Support Us

The Canadian Institute for Advanced Research (CIFAR) is a globally influential research organization proudly based in Canada. We mobilize the world’s most brilliant people across disciplines and at all career stages to advance transformative knowledge and solve humanity’s biggest problems, together. We are supported by the governments of Canada, Alberta and Québec, as well as Canadian and international foundations, individuals, corporations and partner organizations.

Donate Now
CIFAR header logo

MaRS Centre, West Tower
661 University Ave., Suite 505
Toronto, ON M5G 1M1 Canada

Contact Us
Media
Careers
Accessibility Policies
Supporters
Financial Reports
Subscribe

  • © Copyright 2025 CIFAR. All Rights Reserved.
  • Charitable Registration Number: 11921 9251 RR0001
  • Terms of Use
  • Privacy
  • Sitemap

Subscribe

Stay up to date on news & ideas from CIFAR.

This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, see our Privacy Policy.
Accept Learn more