Event – Machine Learning in Health: The Future of Saving Lives (Mar. 12)

Health Services, Systems and Policy Seminar Series: Elham Dolatabadi
March 12 @ 12:00 pm – 1:00 pm | Health Sciences Building, HS106 | Free

Elham Dolatabadi  is currently a Technical AI staff scientist at Vector Institute. Before joining Vector Institute, she was a Data Scientist at RBC. Prior to her role at RBC, she was a postdoctoral researcher at University Health Network where her research focused on applying ML techniques in the development and evaluation of intelligent health monitoring technologies. She was specifically contributing to enabling new classes of diagnostic tools for healthcare that use ML to retrieve subtle information from everyday activities, as well as large clinical records that provide reliable prediction for future falls risks. Elham finished her PhD in 2015, at the University of Toronto. Her PhD research involved developing Bayesian and probabilistic generative ML approaches for addressing challenges associated with human gait modeling. For her master studies, she was a member of a wireless communication and stochastic process group and her master’s research involved modeling and stochastic analysis of wireless sensor networks for health monitoring.

Full announcement at: IPHME