Samira Abbasgholizadeh Rahimi, PhD, Assistant Professor in the Department of Family Medicine, is appointed co-director for McGill’s Collaborative for AI & Society (McCAIS) which serves as a mechanism for the university to bring a critically needed holistic approach to the many challenges and opportunities where AI and Society meet. She will work alongside co-director Golnoosh Farnadi, Assistant Professor of the School of Computer Science at McGill University.
McCAIS efforts center broadly around four key pillars:
- Thought Leadership
- Research to Action
- Experiential Learning
- Lifelong Learning
Congratulations Prof. Rahimi!
For more information about McGill’s Collaborative for AI & Society, please visit: https://www.mcgill.ca/cdsi/mccais
About Samira A. Rahimi
Samira Abbasgholizadeh-Rahimi is an Assistant Professor in the Department of Family Medicine at McGill University. She holds a Canada Research Chair (Tier II) in Advanced Digital Primary Health Care and is an associate academic member of Mila-Quebec AI Institute. She is also elected President of Canadian Operational Research Society, and Director of Artificial Intelligence in Family Medicine (AIFM). Her research focuses on the development and implementation of advanced digital health technologies such as AI-enabled decision support tools in health care.
For more information about the announcement, please see the original article.

Related Articles
Navigating AI in Medical Education: Practical Considerations for Family Medicine Educators
This webinar will provide an overview of AI in medical education, highlighting current uses and considerations around the foundational knowledge and skills learners need to navigate this new landscape.
How do you speak to different audiences about your research ideas? | Ask 5
This month on Ask 5, our aspiring researchers discuss How do I work with people who think differently than I do?
Enhancing Diagnostic Confidence in Family Medicine: The Clinical Applications of the Prevalence Threshold as an Educational Tool
Enhancing Diagnostic Confidence in Family Medicine: The Clinical Applications of the Prevalence Threshold as an Educational Tool