Hyunji Kim
I develop accessible systems for physiological assessment and movement monitoring by combining biomechanics, exercise physiology, wearable sensing, and data-driven modeling. My work translates complex biomechanical and physiological data into practical support for exercise, rehabilitation, and clinical care. At UHN, I am extending this work through textile-based sensing and predictive modeling for heart failure monitoring, aiming to develop clinically meaningful systems that can be used beyond specialized laboratories and hospitals.
About
I completed my Ph.D. at the Sports Engineering Lab, Department of Kinesiology, Seoul National University (2021 Sep – 2026 Feb), with a dissertation on deep learning–based VO2/VCO2 estimation and fitness assessment for individuals with spinal cord injury, aimed at making self-directed exercise monitoring accessible outside the lab. Before that, my M.S. work examined how shoe conditions shape the biomechanics of recreational runners. I originally trained in chemistry education (B.S., Seoul National University) before moving into human exercise science.
Since July 2026, I've been a Visiting Researcher at the University Health Network (UHN), affiliated with the University of Toronto. In October 2026, I'll begin a Postdoctoral Researcher appointment at UHN as part of the Canada Leads 100 Challenge, an initiative to recruit 100 world-leading early-career scientists to UHN. My work focuses on developing more accessible, clinically grounded wearable monitoring technologies.
Highlights
A rotating look at experiments, figures, and prototypes from the work above.