The Computational Psychopathology Lab is a research group that studies human behaviour and mental health disorders using a combination of experiments and computational modelling. We investigate how individuals learn about the causal structures of their environments, with a focus on how they perceive agency—that is, the control exerted by themselves and others—and how they reason based on these learned causal structures.
Our research includes work with both humans and non-human animals and examines behaviour across developmental stages, from childhood to adulthood. We work closely with researchers from universities, industry professionals, and clinicians to integrate computational tools with clinical expertise. The computational models studied and developed in our lab contribute to fields such as robotics and artificial intelligence by improving our understanding of how learning and decision-making processes work. These models also provide insights into mental health, helping to identify patterns and mechanisms that could inform strategies for diagnosis, prevention, and treatment.
Our research includes work with both humans and non-human animals and examines behaviour across developmental stages, from childhood to adulthood. We work closely with researchers from universities, industry professionals, and clinicians to integrate computational tools with clinical expertise. The computational models studied and developed in our lab contribute to fields such as robotics and artificial intelligence by improving our understanding of how learning and decision-making processes work. These models also provide insights into mental health, helping to identify patterns and mechanisms that could inform strategies for diagnosis, prevention, and treatment.
