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©2019 by Women in Data Science Ottawa (WiDS Ottawa). 

Yasmina Souley Dosso received a B.Sc. degree in Biology from Concordia University, Montreal, QC, Canada in 2014. She later completed a B.Math degree in Statistics from Carleton University, Ottawa, ON, Canada in 2016.

 

She is currently pursuing a Ph.D. in Biomedical Engineering from the same institution after fast-tracking from the M.A.Sc. in the same field.

 

Her thesis involves the application of computer vision and deep learning for creating a non-contact, non-invasive, and unobtrusive camera-based patient monitoring system in the neonatal intensive care unit (NICU). Using a depth-sensing camera, actual patient video (colour, depth, and near-infrared) are collected from newborns admitted at the NICU of the Children's Hospital of Eastern Ontario (CHEO).

 

Analyses include estimating vital signs, detecting self-induced motion and clinical interventions, while providing context from the scene to assist clinical staff in continuous patient care. 

 

LinkedIn: https://www.linkedin.com/in/yasmina-souley-dosso/