Biostatistician who left Washington University in St. Louis for the University of Toronto, Canada

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