Our research focuses on linking subjective experiences to objective, performance-based measures and exploring the physiological mechanisms that mediate this relationship. In more recent years, we have examined the computational mechanisms of human motivation—a key transdiagnostic construct that is disrupted across many neuropsychiatric conditions, including depression and schizophrenia, and one that remains poorly treated. Our overarching goal is to integrate a transdiagnostic framework with advanced neuroscience methods—computational modelling, neuroimaging and real-time symptom tracking—to develop or repurpose treatments targeting specific motivational symptoms across patient populations.
