I became interested in health policy and health services research as a medical student. After medical school and an internship, I completed a MSc in Community Medicine at the University of Toronto and a PhD in Public Policy Analysis at the Rand Graduate Institute under the supervision of Dr. Robert Brook. I then took a position at UBC before returning to Toronto to work at ICES. I became a tenured Professor in IHPME in 2000. In that role, I have had the pleasure of supervising several postdoctoral fellows and graduate students and developed a MSc Concentration in System Leadership and Innovation. I have been funded by a range of international, national and provincial agencies to lead a range of health services and policy research projects. I have published over 200 well-cited articles in peer review journals.
Clinical trajectories of dementia and breast cancer
I lead a CIHR-funded multidisciplinary team that is using statistical learning techniques to define and better understand the clinical course of dementia and to better understand cancer and cardiovascular diseases outcomes in women with breast cancer. The team uses large population-based data sources and is based in a high-performance computing environment.
Broader health and health inequity impacts of the COVID-19 pandemic
I lead the Recovery theme of the University of Toronto Institute for Pandemics and a CIHR grant that has brought together a multidisciplinary team across the University of Toronto and created international partnerships to examine how the pandemic and efforts to contain it have increased health inequities and how we can address these impacts.
Sustainable Health Systems
As an extension of my interests in health system innovation, I have been working with a team to examine the extent to which the digital transformation of healthcare will lead to low-carbon high-quality care.
The Centre for Sustainable Health Systems strives to lead and support local, national, and international efforts to improve the environmental and social sustainability of health systems.
This project aims to develop and apply both model-based and algorithm-based statistical and machine learning methods to longitudinal trajectory clustering of multiple repeatedly measured features of cognitive decline.
A Hierarchical Analysis of Trial of Labour in Ontario: Do Women, Doctors or Hospitals Choose?
Measuring Clinical Utilization and Outcomes in Ontario Emergency Departments