Reaching 98% accuracy using machine learning to classify biomechanical gait segments
Mar 18, 2026Using temporal convolutional networks to segment gait cycles and extract clinically meaningful recovery metrics from wearable sensor data.
engineeringsoftwarebiomedicalextracurricullarmachine-learningprojectStrengthing the connection between patients and physiotherapists using a mobile application
Mar 18, 2026A McMaster Biomedical Engineering Technical Team (BMETT) project focused on building full-stack systems, ML pipelines, and firmware to enhance musculoskeletal rehabilitation.
engineeringsoftwarebiomedicalextracurricullarmobile-developmentLeading full-stack, machine learning, and firmware development
Mar 8, 2026Leading a team competing against 10 universities across Canada — building full-stack systems, ML pipelines, and firmware all at once.
engineeringsoftwarebiomedicalextracurricullarmachine-learningfirmware