Joon Lee

Dr. Joon Lee

PhD
Pronouns: he/his/him

Positions

Associate Professor

Cumming School of Medicine, Department of Cardiac Sciences

Associate Professor

Cumming School of Medicine, Department of Community Health Sciences

Director

Cumming School of Medicine, Data Intelligence for Health Lab

Affiliations

Faculty member

Libin Cardiovascular Institute

Faculty member

O'Brien Institute for Public Health

Contact information

Web presence

Phone number

Office: 403.220.2968

Location

Office: CWPH5E17

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Background

Educational Background

Postdoctoral Fellowship Medical Data Science, Massachusetts Institute of Technology, 2012

PhD Biomedical Engineering, University of Toronto, 2009

BASc Electrical Engineering, University of Waterloo, 2005

Biography

Dr. Joon Lee is the Director of the Data Intelligence for Health Lab and an Associate Professor of Health Data Science in the Departments of Community Health Sciences & Cardiac Sciences, Cumming School of Medicine, University of Calgary. He is a member of the Libin Cardiovascular Institute and the O'Brien Institute for Public Health.

He holds a PhD in Biomedical Engineering from the University of Toronto, and a BASc in Electrical Engineering from the University of Waterloo. He also completed a 3-year postdoctoral fellowship in Medical Data Science at the Harvard-MIT Division of Health Sciences and Technology. Prior to joining the University of Calgary, he held a faculty appointment in Health Informatics at the University of Waterloo, for 6 years.

He received an Early Researcher Award from the Ontario Ministry of Research, Innovation and Science in 2016, a Discovery Award from the Banting Research Foundation in 2015, and an Outstanding Performance Award from the University of Waterloo in 2017.

Research

Areas of Research

Health Data Science, Machine Learning, Artificial Intelligence, Digital Health, Precision Health

Dr. Lee's research vision is to bridge the gap between the useful information hidden in digital health data and health care/public health practice. His research applies data science, machine learning, artificial intelligence, natural language processing, and mobile technology to diverse health fields including intensive care medicine, cardiology, public health surveillance, food marketing, and aging.

Participation in university strategic initiatives

Courses

Course number Course title Semester
DATA 622 / MDCH 615 Machine Learning for Health Data Science Winter 2020, Winter 2021, Winter 2023
MDCH 700 Health Data Science Winter 2019

Awards

  • Outstanding Performance Award, University of Waterloo. 2017
  • Early Researcher Award, Ontario Ministry of Research, Innovation and Science. 2016
  • Discovery Award, Banting Research Foundation. 2015

Publications