I am a second-year PhD student in the area of Neural and Rehabilitation Engineering at the University of Waterloo. My research interests lie at the intersection of machine learning, computer vision and wearable technologies. These powerful tools could enable researchers to solve many challenging problems and develop intelligent medical devices to eventually improve the quality of life of many patients. In my Master’s, I used wearable sEMG sensors, IMUs, and an egocentric camera along with machine learning, signal and image processing techniques to automatically detect the frequency and environmental context of naturally occurring compensatory balance reactions. I am currently doing research on gait and fall risk assessment in older adults. I hold a MASc in Mechanical and Mechatronics Engineering (University of Waterloo) and a BSc in Electrical Engineering (control systems and robotics).