📢 Join our Schmidt AI in Science Program Information Session! 🗓️ August 5th, 2026 ⏰ 11:00 AM–12:00 PM 💻 Virtual Hear directly from current fellows as they share their experiences, insights, and tips! 👉Register here: forms.office.com/r/nQiRgKU0EU

🚀 Are you ready to join the next generation of AI experts? 🚀 Now is the time to apply for the Schmidt AI in Science Postdoctoral Fellowship Program at the University of Toronto! ➡️ Valued at CAD $85,000 per year, for two years ➡️ Apply by October 5, 2026 schmidtfellows.utoronto.ca/apply/

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Amey Pore, Postdoc Researcher at U of T, focuses on advancing robot-assisted surgery with systems that can learn, adapt, and collaborate seamlessly with surgeons, not just as tools, but as intelligent assistants that evolve with use🏥. His project, SurgicalVLA aims to bridge critical gaps.

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Meet this month's In-Action star: Amey Pore is teaching robots to assist in surgery. He is developing safe AI methods that automate repetitive surgical tasks such as, suturing and tissue manipulation. His work aims to transfer routine steps to robotic assistants to reduce manual workload 🤖.

AI4X-Accelerate Conference 2026 is next month! Join us in Singapore to hear from a global lineup of leading researchers and industry experts working at the intersection of AI, scientific discovery and materials science. Register now to hear from these names + more global speakers: ai4x.cc

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Excited to share insights from Matt Thorstensen’s recent Magazine feature, highlighting how evolutionary biology and AI are converging in meaningful ways 🧬! Matt finds that building AI models to be inherently motivating and rewarding💡.

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Featuring Matt Thorstensen’s In-Action Video! Matt shares how he’s using AI to study bird evolution across Canada and the Amazon. By applying graph neural networks to genomic data, his work explores how past glacial cycles shape biodiversity🐦.

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We’re thrilled to share our magazine issue this April with Schmidt AI in Science Fellow, David Pellow! From advancing research at the intersection of AI & liver biology to building interpretable ML models, David’s work highlights the potential of practical and impactful AI applications 🚀.

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Featuring Mehdy Dousty, who is building RadioVision to sense how people move and interact in everyday environments using radio-frequency signals. As RadioVision has moved from research to startup, the mission is clear to build technology that performs reliably in the real world🚀.

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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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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🤝!

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 🎟️ https://www.eventbrite.ca/e/1983882403674?aff=oddtdtcreator

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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 🔍.

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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