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In this month’s In-Action video, Mehdy Dousty reflects on how the Schmidt Fellowship helped reshape his research journey💡.

Since becoming a Schmidt Fellow, he is now using radio-frequency signals and AI to optimize his prediction models📊.

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Schmidt AI in Science Fellows, Third Cohort

We are pleased to formally welcome our third cohort🎉

Check out the story to learn more about them and their projects: defygravitycampaign.utoronto.ca/news-and-sto...

We cannot wait to see the impact you’ll all create🌍!

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Last week, we partnered with Vector Institute to host an engaging Faculty Roundtable Networking event, offering our Fellows the opportunity to network, discuss career journeys, and transitions from postdoctoral roles into academia📖.

Thank you to the professors for sharing their experiences🤝!

Industry Speaker series An afternoon with AstraZeneca Canada April 27, 2026 700 University Ave uoft.me/industryspeakers AstraZeneca Industry Keynote Martin Booth Head of Analytics & Data Excellence Devon Prontack Senior Manager, Data Science & Innovation Amyn Sayani Head of Medical Evidence

Meet our industry speakers! On April 27 our Industry Partner AstraZeneca Canada is joining us for an interactive afternoon networking, dialogue and industry insights.
📆 April 27, 2026
📍700 University Ave, Toronto
🎟️ www.eventbrite.ca/e/1983882403674

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Our March magazine spotlights Ashley Dale, who is building the foundation for TRustworthy AI in experimental science.

Her research explores how we can evaluate AI systems used in laboratory discovery💻.

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Featuring Ashley Dale, a Schmidt AI in Science Fellow, who is developing TRustworthy AI Tools for Science, creating ways to measure robustness, interpretability, and reliability across AI methods used in the lab 🔍.

Bridging the Gap: From Computational Physics, to Physics-informed Machine Learning, to Data-driven Scientific Discovery March 11, 2026 700 University Ave uoft.me/bridging-march

Join us for the Bridging the Gap: From Computational Physics, to Physics-informed Machine Learning, to Data-driven Scientific Discovery symposium on March 24.
🔗 Learn more and register: https://uoft.me/bridging-march

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To kick-off March, we’re diving deeper into Biprateep Dey’s work, where he combines astronomy, dark matter, and machine learning to understand how galaxies form and evolve🌌.

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Schmidt AI in Science Fellow Biprateep Dey, is using machine learning to study galaxy formation and the role of dark matter. A powerful example of how AI is transforming astronomical discovery🔭!

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U of T Schmidt AI Fellows bring foundation models to the forefront of scientific research

🚀Integrating Foundation Models into Next Generation Scientific Research at UofT.

This past November, U of T's Schmidt AI in Science Fellows brought together nearly 70 researchers from around the world for a hands-on workshop.

Read the full story here: www.artsci.utoronto.ca/news/u-t-sch...

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In celebration of the International Day of Women and Girls in Science, we’re proud to spotlight Ishrath Mohamed Irshadeen🧪.

As a #SchmidtAIinSci Fellow, her work intersects with chemistry and machine learning to accelerate the discovery in pharmaceuticals, agrochemicals, and advanced materials.

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We’re thrilled to welcome Thomas Schnake as a Cohort 3 #SchmidtAlinSci Fellow!

We’re thrilled to welcome Thomas Schnake as a Cohort 3 #SchmidtAlinSci Fellow!

Thomas works with Profs. Anatole von. Lilienfeld (Dept. Chemistry) & Chris Maddison (Dept. Computer Science).

His project revisits electronic spin in quantum chemistry using Machine Learning and explainable AI ⚛️.

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Schmidt AI in Science Fellow, Ishrath Mohamed Irshadeen is accelerating solubility prediction using machine learning while pioneering new photo-driven polymerization methods. An amazing example of how AI is transforming chemistry🔬!

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Biprateep Dey: Calibrated Uncertainty Quantification for Physical Sciences

Biprateep Dey presenting his research to Professor Lisa Strug, Director of the DSI and Co-Director of our Schmidt AI in Science Program!

On January 22nd, we attended a Talent Showcase hosted by the Data Science Institute✨. We were proud to support our #SchmidtAIinSci Fellow, Biprateep Dey who shared his research on Calibrated Uncertainty Quantification for Physical Sciences 📊.

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Fellows and the greater AI community took part in a three-day Foundation Models Workshop where they worked through tutorials, collaborated in hackathons, and strengthened their ability to evaluate, understand, and apply AI tools.

One of the year’s high points was our summer retreat, where Fellows immersed themselves in discussion of AI training, professional development, and building a stronger, more connected community.

We closed off the year with a full-day workshop, an immersive experience designed to help the Fellows explore their career aspirations through creative and artistic activities. The day encouraged reflection, and imagination of what their professional paths could look like.

Our Fellows attended a LinkedIn Workshop to enhance their profiles, strengthen their personal branding, and boost their overall professional presence!

As we wrap up 2025, we are grateful for the energy, curiosity, & community that have defined this year in the Schmidt Program💫!

Thank you to our Fellows, supervisors, program partners, & supporters for making this a vibrant place to learn and grow!

Here’s to another year of discovery & impact🚀!

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We’re excited to welcome Ioana Zelko as a Cohort 3 #SchmidtAIinSci Fellow!

We’re excited to welcome Ioana Zelko as a Cohort 3 #SchmidtAIinSci Fellow!

Ioana works with Professor Jo Bovy in the Dept. of Astronomy and Astrophysics.

Her project explores DarkMatterFM, an Agentic Foundation Model for Multimodal Constraints on Dark Matter.🌌