I work at the intersection of Human–Computer Interaction, AI, and digital learning, with a focus on understanding how attention changes moment-to-moment during online learning. My research combines gaze behaviour, pupil dynamics, heart-rate variability, and everyday behavioural signals to model how learners engage, get distracted, and recover attention—especially in the context of ADHD.

My broader goal is to build computational markers of attention that power the next generation of adaptive, learner-aware systems. I’m interested in creating technology that can sense cognitive states in real time and respond intelligently to support personalised, inclusive learning experiences.

I enjoy creating technologies that understand when learners struggle, when they focus, and when they need support systems that respond with the same sensitivity a good teacher would.