Associate Professor

Andrew Pinto

DFCM - Public Health


St. Michael's Hospital
The Upstream Lab, St. Michael's Hospital, 30 Bond St., Toronto, Ontario Canada M5B 1W8
Research Interests
AI in Healthcare, COVID-19, Family Medicine, Health Equity, HIV, Homelessness, Mental illness, Prevention, Primary Care, Public Health, Social Determinants of Health
Clinical Interests
HIV, Addictions, Mental Illness, Homelessness
CREMS Students, Graduate Students, Other, Postdoctoral Fellows, Summer Students

Dr. Andrew Pinto is the founder and director of the Upstream Lab, a research team focused on tackling social determinants of health, population health management, and using data science to enable proactive care. He holds the CIHR Applied Public Health Chair in Upstream Prevention. He is a Public Health and Preventive Medicine specialist and family physician at St. Michael’s Hospital in Toronto and an Associate Professor at the University of Toronto. He is the Associate Director for Clinical Research at the University of Toronto Practice-Based Research Network, the lead for clinical research of Ontario’s POPLAR network, and the founder of the Canadian Primary Care Trials Network. He serves on the Institute Advisory Board of CIHR’s Institute for Population and Public Health, is an adjunct scientist at the Institute for Work and Health, and an honorary senior lecturer at St. Andrews University in Scotland.

Research Synopsis:

  1. Integrating health and social care: He is the founder and director of the Upstream Lab (, where their mission is to co-design and rigorously evaluate interventions that address the social determinants of health (SDoH). These factors account for the majority of the differences in health between individuals and drive health inequities. Interventions that they develop address the social determinants at the individual, organizational, and population level.
  2.  Population Health Management: He is the Associate Director for Clinical Research within the University of Toronto Practice-Based Research Network (UTOPIAN). The availability of electronic medical record (EMR) data has greatly increased our ability to better understand populations of patients, identify inequities, and support a learning health system.
  3. Using data to enable Learning Health SystemsHe is interested in how AI methods process and present newly available data and are used to better support proactive “upstream” care that reduces inequities.