Elham Dolatabadi

I'm an applied Machine Learning Scientist at Vector Institute. I also have an Assistant Professor appointment (status only) at the Institute of Health Policy, Management, and Evaluation (IHPME​) at the University of Toronto.

My work portfolio and research agenda are mainly focused on the adoption of Machine Learning (ML) and Deep Learning technologies for real-world needs. My mission is to bring the power of ML and Data Science to health in order to improve human health and address the big challenges facing our healthcare system.


About Me

I have over 10 years of experience in leading various applied AI projects in collaboration with public and private health sectors. I have well-established experiences in developing and teaching health AI training programs and graduate-level courses on ML and knowledge representation in the health domain.

Prior to joining Vector Institute, I was a postdoctoral researcher at KITE research institute - University Health Network where my research focused on applying ML techniques in the development and evaluation of intelligent health monitoring technologies. I finished my PhD in 2015, at the University of Toronto and was a member of the intelligent assistive technology and systems lab under the supervision of Dr. Alex Mihailidis.

News & Highlights


  • 2011 - 2015, University of Toronto, Biomedical Engineering with focus on Machine Learning

  • 2009 - 2011, University of Western Ontario, Electrical and Computer Engineering

  • 2002 - 2009, K.N.Toosi University of Technology, Electrical Engineering


  • Graduate Course: MHI2002H, Emergent Topics in Health Informatics: Intelligent Medicine, Machine Learning and Knowledge Representation, IHPME, University of Toronto.

  • AI in health certificate

Invited Talks