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 thesis, 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 engaged in several projects including the development of an intelligent activity detection system to help people with cognitive impairments and implementation of the methods for content-based medical image retrieval. I received my MASc in Mechanical and Mechatronics Engineering from the University of Waterloo (under the supervision of Dr. James Tung) and BSc in Electrical Engineering (control systems and robotics).