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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 🔍.
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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🚀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!
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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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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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!
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.🌌
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We’re excited to welcome Rohan Dahale as a Cohort 3 #SchmidtAIinSci Fellow!
Rohan works with Profs. Bart Ripperda (CITA) and Aviad Levis (Computer Science).
His project bridges black hole simulations and observations with machine learning.🛰️
Registration is now open for the Data Sciences Institute Talent Showcase!
📆 January 22, 2026, 2:30 pm – 5:30 pm
📍 Data Sciences Institute, 700 University Ave, 10th floor, Toronto
🎟️ Register: www.eventbrite.ca/e/talent-sho...
Join us for our next Catalyst Series event exploring how AI & data are reshaping pandemic response and public health systems. Featuring @zshakeri.bsky.social (@uoftdlsph.bsky.social) & Swetaprovo Chaudhuri (@engineering.utoronto.ca).
🗓️ Dec 9, 12:00-1:00pm
🔗 www.eventbrite.ca/e/catalyst-s...
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Our recent Dream Job Academy Workshop transformed incredible career development into forms of creativity.
#SchmidtAIinSci Fellows explored career aspirations through zines, collages, & dioramas.🎨
Thank you to Jon Bray, Jessica Wurster, & all participants for making this workshop impactful!🧩
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We're excited to welcome Afeez Popoola as a Cohort 3 #SchmidtAIinSci Fellow!
Afeez works with Profs. Andrei Swidinsky and Sebastian Jaimungal.
His project explores AI for optimizing geothermal reservoir performances using coupled surface deformation and subsurface measurement.🔥
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