My work focuses on understanding how the brain processes information in real time. I use EEG, a technique that records electrical activity from the scalp, to study how people respond to sounds, images, and other types of sensory input. This gives us a way to measure how attention and perception unfold on the millisecond scale.
A lot of my research looks at development — particularly how these processes might differ in children who are at risk of conditions like autism or ADHD. By comparing groups, we can begin to see patterns in how the brain responds differently to the same stimuli, and what those differences might mean for learning and behaviour.
On a day-to-day basis, my work combines data collection with analysis. That might mean designing and running experiments, cleaning large datasets, or applying statistical models to test hypotheses. I also spend time developing scripts that automate parts of this process, so the analyses are consistent and easier to reproduce.
The questions I study are specific, but the methods have broader applications. EEG and computational analysis can be used to explore many aspects of cognition, from basic sensory processing to more complex tasks like attention and memory. My role is to take these methods and apply them carefully to better understand how brains develop and differ.
Cortical Chaos 