Recovery after critical illness can be a long and difficult process, where a loss in patient motivation is common. Socially Assistive Robots (SARs) provide a promising platform to help boost engagement through varied forms of human-robot-interaction, such as implementing personalised feedback or adaptive difficulty based on visual or physiological data sensed from the user. My project will focus on a specific area of physical rehabilitation and explore how SARs may help to deliver more effective aspects of these programmes.
I have a bachelors degree in Computer Science and Masters in Artificial Intelligence from Heriot-Watt University. I have worked in technology consultancy, specifically in cybersecurity and digital transformation for healthcare and local government. Additionally, I have worked as AI Lead within a small mental health start-up, working on the development of a conversational agent for wellbeing. My main research interests are in Human-Robot-Interaction, NLP, and Deep Learning.