PRiME Seminars in AI and Drug Discovery
💊 PRiME Seminars in AI and Drug Discovery
🚀 Unlocking the Future of Therapeutics
Join us for the next session in our newly launched seminar series exploring how artificial intelligence is transforming drug discovery. From molecular design to clinical prediction, each session brings leading researchers, innovators, and industry experts to share cutting edge insights.
📅 When
Wednesday, November 11, 2026
3-4 pm
📍 Where
Leslie Dan Faculty of Pharmacy
Room 850, 8th floor
144 College St.
University of Toronto
🎤 Upcoming Speaker
Regina Barzilay
School of Engineering Distinguished Professor for AI and Health
AI Faculty lead, Jameel Clinic for Machine Learning and Health, Massachusetts Institute of Technology
“Rethinking disease diagnosis and treatment with AI“
Regina Barzilay is a School of Engineering Distinguished Professor of AI & Health in the Department of Computer Science and the AI Faculty Lead at MIT Jameel Clinic. She was recently named on Time100 Most Influential People in AI 2025 and develops machine learning methods for drug discovery and clinical AI. In the past, she worked on natural language processing. Her research has been recognized with the MacArthur Fellowship, an NSF Career Award, the AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity, and the IEEE Frances E. Allen Medal for innovative machine learning algorithms that have led to advances in human language technology and demonstrated impact on the field of medicine. Regina is a member of the National Academy of Engineering, National Academy of Medicine, and the American Academy of Arts and Sciences.
Talk Abstract: Until very recently, AI had limited impact on the science and practice of modern medicine. With new advancements in machine learning, this situation is starting to change. In my talk, I will give a few successful examples ranging from molecular and cell modeling to image analysis, where AI tools brought about novel insights into human biology and facilitated the discovery of new therapeutic interventions. In the second part of the talk, I want to focus on problems where current AI methods fail to deliver as expected, motivating the need for algorithmic innovations.
🔗 Registration & Details
Everyone is welcome to attend.
Graduate students interested in having their attendance at these seminars on their transcript can sign up for the seminar course PHM3101 (0.12 FCE: CR/NCR). All students are welcome to join. If the deadline for course registration has passed, you may still be able to add it using the course Add/Drop form that you submit to your grad program coordinator.
Hybrid available on demand. Link will be provided upon request, please contact prime.initiative@utoronto.ca.
For more information, please contact organizer:
Carolyn Cummins, PhD
Associate Professor, Pharmaceutical Sciences
PRiME Associate Scientific Director