Jay Shaw is the Tier 2 Canada Research Chair in Responsible Health Innovation and an Assistant Professor in the Department of Physical Therapy at University of Toronto. He serves as Research Director of Artificial Intelligence (AI), Ethics & Health at the University of Toronto Joint Centre for Bioethics, an appointment in the Department of Physical Therapy, and is adjunct Scientist at the Women’s College Hospital Institute for Health System Solutions and Virtual Care. He practiced as a physical therapist in community-based care prior to completing his PhD in 2012. Jay’s program of research addresses the implementation and ethical/social implications of innovations in health care, with a special focus on digital health technologies, applications of AI in health care, and other equity-focused health innovations.
Jay is open to supervising Master’s and PhD students interested in ethical and social implications of innovation in health care, especially those interested in digital health and AI.
I maintain collaborations with health system decision-makers to promote the use of best evidence in the health system. These collaborations take a variety of forms, including research collaborations and co-hosting symposia on key policy topics to inform policymaking. I have consulted to the Public Health Agency of Canada, Ministry of Health of Ontario, National Institutes of Health (US), and other agencies.
- Assistant Professor, Department of Physical Therapy
- Research Director, Artificial Intelligence, Ethics & Health, Joint Centre for Bioethics
- Scientist, Institute for Health System Solutions and Virtual Care, Women’s College Hospital
The International Centre for Translational Digital Health advances the field of digital health in Canada, the UK, and Australia through the development, implementation, and translation of new technologies, policies, and service delivery models.
PhD Graduate Student
Thesis: The Social Organization of Design in Data-Intensive Health Innovation
MSc Graduate Student
Thesis: Exploring the Ethical Challenges in the Design and Auditing of a Machine Learning Computer Vision Algorithm for Clinical Use
Supervisors: Jay Shaw, Melissa McCradden, Shion Guha