Shumit Saha

Faculty Member

Accepting Students


Using AI to Break the Barriers of Language and Literacy to Access Health Apps

Accepting Students

Breaking the Barriers of Language and Literacy to Access Health Apps We are seeking an individual who would like to apply for the master’s program (AI emphasis) in the Health Systems Research (HSR) concentration at the Institute for Health Policy, […]

Lead: Emily Seto, Shumit Saha

As an Early Career Researcher, Dr. Shumit Saha is committed to advancing a patient-centered research program that utilizes technologies to enhance digital health interventions and empower equitable outcomes for patients living with chronic conditions. Dr. Saha’s primary role is as a Senior Scientific Associate with the Centre for Digital Therapeutics at University Health Network (UHN), Toronto, Canada. In his capacity, he leads the data science team of the Centre to design, develop, evaluate, and implement digital health products and services.

His program of research has been focused on a) developing artificial intelligence (AI) embedded mobile and digital technologies, such as wearables, smartphones, and applications (apps), to better manage chronic diseases, and b) big data analysis of largescale surveys and electronic health records (EHR) to enhance equitable public healthcare and support or evaluate policy.

Till Date, he has been awarded $150K+ worth of funding as principal investigator along with published 15+ journals and presented in 32+ conferences.

Research Interests

Data Science and Machine Learning in Health, mHealth Technology Development, Health Informatics

Professional Interests

Equitable Healthcare, Electronic Health Record (EHR) Analysis, Acoustic Signal Analysis, Signal Processing, and Machine Learning

Automatic Medication Management of Patients with Heart Failure

Speech-Based Analysis of Heart Failure Worsening

Enhancing the knowledge-based expert system with machine learning to better manage chronic disease

Big data analysis including electronic health record (EHR) of patients