Elham Dolatabadi

Faculty & School/Dept.

Faculty of Health - School of Health Policy & Management

Degrees

PhD in Biomedial Engineering - 2015
University of Toronto

MSc in Electrical and Computer Engineering - 2011
Western University

BSc in Electrical Engineering - 2006
K.N.Toosi University of Technology

Biography

Dr. Dolatabadi's interdisciplinary research harmonizes innovations in health informatics and machine learning to address complex challenges influencing human health and to reduce health disparities. In particular, her interest revolves around the three core pillars of multimodal learning in health, health equity analysis using causal mechanisms, and ambient intelligence. She is actively involved in various application domains stemming from these pillars, including characterizing Post-COVID-19 Condition (PCC) in Canada, improving Youth Mental Health, building an Early Warning System for Mental Health Crisis, and responsible development and deployment of clinical AI models.

Affiliations

Vector Institute
Faculty Affiliate

Connected Minds
Faculty Member

Supervision

Currently available to supervise graduate students: Yes

Currently taking on work-study students, Graduate Assistants or Volunteers: Yes

Available to supervise undergraduate thesis projects: Yes

Current Research

Machine Learning 

Natural Language Processing

Multimodal Learning

Disparity Analysis

Responsible AI

Research Projects

Machine Learning for Mental Health
Role: Co-Principal Investigator
Funded by: Canada Foundation for Innovation

Multimodal Foundation Model
Role: Co-Principal Investigator
Funded by: Natural Sciences and Engineering Research Council

Insight for Post COVID Condition
Role: Co-Principal Investigator
Funded by: Canada Foundation for Innovation