Key Research Interests and Expertise

Thomas uses computational modelling, behavioural testing and neuroimaging to address problems in learning and decision-making. Particular areas of interest include reward learning, structure learning (how we build mental models of the world) and the Bayesian brain hypothesis. He also has an interest in using computational approaches to understand psychiatric disorders, particularly psychosis.

Get in touch if you would like to discuss possible (funded) PhD or postdoctoral positions in these areas, or are interested in getting research experience in the lab.

ID: 73833793