T-CAIREM Director Muhammad Mamdani, PharmD, MA, MPH
Since its founding in 2020, the Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) at the University of Toronto has been at the forefront of harnessing AI to transform medicine and healthcare responsibly.
AI is transforming how we understand disease, deliver care, and train the next generation of health professionals. At T-CAIREM, we believe realizing its full potential requires collaboration across disciplines, institutions and sectors. By bringing together clinicians, researchers, educators, students, data scientists, engineers and industry partners, we are building the expertise and partnerships needed to translate AI research into meaningful improvements in health care.
Our work is organized around four interconnected areas: Research, Education, Infrastructure and Community. We support innovative research through competitive grants and offer emerging researchers opportunities through our annual paid Summer Research Program. Our educational initiatives, including professional development courses, workshops, bootcamps, and datathons, help learners at every stage develop the knowledge and skills to understand and apply AI responsibly. Through our flagship Health Data Nexus, we provide secure infrastructure that enables researchers to access, share and analyze health datasets, helping accelerate scientific discovery while protecting patient privacy.
Equally important is the community we have built. Through conferences, partnerships and knowledge-sharing initiatives, we connect people and institutions across Canada and internationally, fostering collaboration and advancing AI literacy. Today, T-CAIREM has grown into Canada's largest AI in health network and one of the largest of its kind in the world.
As AI continues to reshape medicine, our commitment remains clear: to advance rigorous research, responsible innovation, and accessible education that benefit patients, health professionals, and society.
Led by Anna Goldenberg and Devin Singh, our Research theme advances multidisciplinary, collaborative research that harnesses AI to improve medicine and health care, with a focus on translating discoveries into real-world clinical practice. As of 2026, we have awarded $2 million in research grants to support more than a dozen researchers developing promising AI-driven innovations.
T‐CAIREM’s Education theme is led by Laura Rosella. Through our professional upskilling courses, postgraduate medical education sessions, and workshops, we are addressing the critical need for AI literacy among the next generation of health professionals. We have also created the free AI Learning Hub, a repository of helpful books, research papers, tutorials, videos, and podcasts for learners worldwide. In addition we lead the International AI in Medicine Education Working Group (IAIMEWG), a global consortium of nearly 30 AI health research centres.
T-CAIREM’s Infrastructure program, led by Benjamin Haibe-Kains and David Rotenberg, supports the secure and responsible use of health data to advance AI research and innovation. We have created Health Data Nexus (HDN), a secure platform where researchers can access, share, and analyze health datasets to fuel the next generation of AI healthcare tools.
Guided by Partnerships & Engagement Lead Mamatha Bhat, T‐CAIREM has become a beacon for AI healthcare. We use several approaches to expand our community and increase opportunities for members to connect, collaborate, and learn from each other. Among our community activities are the annual Trainee Rounds, where we showcase emerging researchers from across Canada, and the monthly Temerty Centre Speaker Series, which features leading AI health experts from across Canada and around the world.
