Learning under uncertainty: 

My doctoral research focuses on how individuals on the autism spectrum perceive and respond to different types of uncertainty, such as outcome noise and environmental volatility. Through behavioural experiments, reinforcement learning and Bayesian models, and EEG, I examine the neural mechanisms underlying these processes and explore how they manifest in sub-clinical autistic and anxiety-related traits. This work aims to deepen our understanding of decision-making in complex, uncertain environments.