Kaymie Shiozawa

Kaymie Shiozawa is a PhD candidate whose research interests focus on the development of diagnostic, assistive, and rehabilitative technologies to support balance for post-stroke patients and other individuals with compromised balance. Specifically, Kaymie is investigating the neural control strategies of balance across patient populations to inform the design of novel rehabilitation devices that provide continuous care in and out of the clinic. Recently, she developed a biomechanically plausible MATLAB-based simulation and compared the outputs against human quiet standing data to quantify the neural control strategy of unimpaired balance. A MathWorks Fellowship will enable Kaymie to extend this work and gain insight into the differences in control strategies across various populations, such as older adults or stroke survivors. Kaymie’s work offers valuable tools to fellow researchers and has tremendous potential to advance research and innovation in assistive and rehabilitative technologies.



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