Biography

Rachel holds a Bachelor of Computing specializing in Biomedical Computing from Queen’s University. She is interested in the combination and integration of medicine and technology. For her final undergraduate project she worked on developing an Android application to provide real-time walking speed feedback on a Head’s Up Display. She has also been involved with cadaver trials of a patient-specific acetabulum guide used for hip resurfacings and replacements.

Currently, Rachel is completing her Master of Science in Applied Computing at the University of Toronto. She is on internship at IATSL and is working with fall detection. She is using the game engine, Unity, to create a synthetic dataset to train the current fall detection system. The ultimate goal of this is to improve the accuracy of the system.