
Shu (Joy) Jiang
Digital Health
RESEARCH FIELD
Digital Health
Artificial Intelligence
Precision Medicine
Life History Data Analysis
Dynamic Prediction
Functional Data Analysis
Machine Learning
Education
University of Waterloo
Ph.D
Statistics
,
2018
Harvard T.H. Chan School of Public Health
Postdoc
Biostatistics
,
2018
-
2019
Summary
Shu (Joy) Jiang is a biostatistician who left Washington University School of Medicine in St. Louis to join the University of Toronto's Dalla Lana School of Public Health as the Eddie Goldenberg Research Chair of Canada in Translational Digital Health. She earned her PhD in statistics from the University of Waterloo in 2018 and completed a postdoctoral fellowship in biostatistics at the Harvard T.H. Chan School of Public Health from 2018 to 2019.
Jiang's research focuses on bringing artificial intelligence into clinical practice, and she helped develop and commercialize an AI-based tool for assessing breast cancer risk. At U of T, she will lead the development of national infrastructure for AI medical imaging deployment, connecting hospitals, regulators, and industry to bring validated AI tools to Canadian patients at scale.
CURRENT AFFILIATION
University of Toronto (Dalla Lana School of Public Health), Toronto, Canada
Recruitment Program
Canada Global Impact+Research Talent Initiative







