
U of T Trains 11 AI Scientists to Tackle Climate, Space
Eleven young researchers are using artificial intelligence to solve problems from sustainable water use to understanding the Milky Way. The University of Toronto's newest fellows are turning AI into a tool for scientific breakthroughs that could change how we live.
Imagine AI that helps manage water in drought-stricken rivers or unlocks clean geothermal energy buried beneath our feet. That future just got closer.
The University of Toronto just welcomed 11 new Schmidt AI in Science Postdoctoral Fellows who are using artificial intelligence to tackle some of the planet's toughest challenges. Their research spans from mapping how our galaxy formed to creating sustainable water systems for communities facing climate change.
The fellowship program launched in 2022 through Schmidt Sciences, a philanthropic initiative from former Google CEO Eric Schmidt and his wife Wendy. It funds early-career scientists at nine universities worldwide, with U of T as the only Canadian partner.
These researchers get more than funding. They receive AI training, collaborative opportunities, and access to workshops that help them push their ideas further faster.
Addis Alaminie is building an AI framework for sustainable water management using case studies from the Nile and Peace Rivers. His work could help communities adapt to climate change and manage precious water resources more effectively.

Geophysicist Afeez Popoola is optimizing geothermal energy production through AI that links surface deformation with underground measurements. His research aims to make clean energy more scalable and support global decarbonization efforts.
The program's first cohort has already moved on to new positions, taking their AI-driven discoveries with them. The second cohort, now in their final year, recently won competitive workshop grants and presented their research at international conferences.
The Ripple Effect
This investment in young scientists creates waves far beyond the lab. When researchers learn to apply AI responsibly to real-world problems, entire fields advance faster.
Lisa Strug, director of U of T's Data Sciences Institute, notes the program gives early-career scientists freedom to explore new approaches. That freedom translates into bolder ideas and breakthrough discoveries.
The third cohort brings expertise across engineering, astronomy, astrophysics, psychology, and earth sciences. Their diverse backgrounds mean AI tools will spread across multiple scientific fields simultaneously.
Timothy Chan, U of T's associate vice-president, emphasizes the partnership cultivates safe and responsible AI research while supporting emerging scholars. Training the next generation of scientists to use AI ethically matters as much as the discoveries themselves.
These 11 researchers represent a growing movement where artificial intelligence becomes a force for solving humanitarian and environmental challenges. Their work today could mean cleaner energy, better water management, and deeper understanding of our universe tomorrow.
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Based on reporting by Google: scientific discovery
This story was written by BrightWire based on verified news reports.
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