Joon Lee, PhD

Postdoctoral Fellowship in Medical Data Science, Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology
PhD in Biomedical Engineering, Department of Electrical and Computer Engineering, University of Toronto
BASc in Electrical Engineering, Department of Electrical and Computer Engineering, University of Waterloo

Joon Lee

Areas of Research

Health Data Science, Machine Learning, Artificial Intelligence, Digital Health
My research applies data science to challenging health problems, with a focus on machine learning and artificial intelligence. It involves collecting, curating, processing, and analyzing health data from a variety of sources including electronic health records, smartphones, wearable devices, and social media. The overarching aim of my research is to support knowledge discovery, decision support, and health management in a personalized, data-driven way. My primary application areas have been intensive care medicine, cardiovascular medicine, food marketing, aging, chronic disease management, and population health surveillance. For more information about my research lab, the Data Intelligence for Health Lab, please visit cumming.ucalgary.ca/dih.

Supervising degrees

Community Health Sciences Doctoral: Accepting Inquiries
Community Health Sciences Masters: Accepting Inquiries
Cardiovascular and Respiratory Sciences Doctoral: Accepting Inquiries
Cardiovascular and Respiratory Sciences Masters: Accepting Inquiries
Biomedical Engineering Doctoral: Accepting Inquiries
Biomedical Engineering Masters: Accepting Inquiries
Data Science and Analytics Diploma: Accepting Inquiries

Working with this supervisor

The ideal prospective graduate student would be proficient and have experience in some of the following: data science, machine learning, artificial intelligence, natural language processing/understanding, big data analytics, predictive analytics, biostatistics, health research, mobile programming, Python, R.

Contact this supervisor

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