Elham Dolatabadi Headshot

Elham Dolatabadi

Faculty Affiliate

Assistant Professor, School of Health Policy and Management, York University

Department of Electrical Engineering and Computer Science, Lassonde School of Engineering

Elham Dolatabadi is an Assistant Professor in Machine Learning and Health Informatics at the School of Health Policy and Management and cross-appointed with the Department of Electrical Engineering and Computer Science, Lassonde School of Engineering at York University and a Faculty Affiliate of the Vector Institute. Prior to this, she was a Scientist and Health Lead at Vector Institute, where she led various large-scale projects in collaboration with hospitals, government, and private sectors in Ontario and Canada to deliver innovative AI solutions for real-world healthcare problems. Her 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.

Research Interests

  • Natural Language Processing
  • Machine Learning
  • Healthcare and/or Medical Imaging


  • NSERC Discovery Grant for the project titled “Deep Multimodal Learning for Healthcare: Towards Building Multimodal Pathway Health Networks”.
  • Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach