Capturing and modeling the complex dynamics of psychopathology

Welcome to the Computational Clinical Science Lab at Yale!

Mental disorders are incredibly complex and dynamic phenomena that vary within people, between people, and across time. The goal of our research is to capture and model this complexity, to improve our understanding of why psychopathology emerges, persists, and remits, and to inform personalized interventions. To do so, we integrate methods from across the clinical and computational sciences. We build mathematical and computational models to explain the dynamics of psychopathology, use digital phenotyping to capture these processes in daily life, and develop machine learning models to predict who is at risk and when. Our research draws on data from smartphones, wearable biosensors, electronic health records, and AI chatbots. Together, we aim to answer fundamental questions about the nature of mental disorders and to develop methods that improve how they are understood, predicted, and treated.

The Computational Clinical Science Lab is directed by Dr. Shirley Wang. We are based in the Department of Psychology at Yale University.