Elham Dolatabadi
I'm an Assistant Professor at York University, Faculty of Health, School of Health Policy and Management. I am currently a faculty affiliate at Vector Institute and cross-appointed with the Institute of Health Policy, Management, and Evaluation (IHPME) at the University of Toronto.
You can explore my research lab by visiting the following link
edolatab<at>yorku.ca
About Me
I have over 15 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.
Education
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
Invited Talks
Deep Learning meets Public Health Surveillance. Vector's Endless Summer School: Healthcare Roundup. March 2022.
Validating Data Quality in a Public Health Crisis. Workshop Presenter. A New Normal: 14th Annual Dalla Lana School of Public Health Student-Led Conference. Dalla Lana School of Public Health, Toronto. November 2021.
From sensing to surveillance, a wide spectrum of health AI applications. Evaluative Clinical Science Rounds 2019, ICES, Toronto, Canada.
Automating information extraction from EHR, part of Innovative approaches in acquiring, processing, and analyzing EMR and EHR data. ICES Fall Forum 2019, Toronto, Canada.
Generalization and Transfer Learning in pre-trained Natural Language Processing Models. Endless Summer School (ESS) program 2019, Vector Institute, Toronto, Canada.
The Promise and Potential of ML in Health. ICES Data Science Education Webinar Series 2019, Toronto, Canada.
Deep generative models and reviewing Auto-Encoding Variational Bayes. Aggregate Intellect (A.I), Toronto, Canada.