IBBME (University of Toronto)
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Addison holds two undergraduate degrees from Queen’s University: a BScH in Kinesiology, and a BSc in Computer Science. An interest in research, neuroscience, motor control, and assistive technology was fostered through an undergraduate thesis and summer lab work.
After a year abroad which involved working for a computational biology group in Australia, and a few years working as a software developer for a medical image archiving company in Toronto, he decided to rekindle his research interests by joining the Intelligent Haptic Robotic System team.
His Master’s thesis will involve creating an extension for IATSL’s robotic upper limb therapy device, which will enable it to autonomously control a functional electrical stimulation (FES) system. The hope is that this integration will combine the intensive, precise repetitions provided by the robotic system with the sensorimotor feedback provided by FES therapy, to provide greater rehabilitation outcomes than using either therapy modality alone.