Peter HitchcockAssistant Professor

Research Interests

Computational modeling, depression and anxiety, reinforcement learning, rumination and worry, sequential sampling models, treatment development.

Research Areas 

The Translational Lab focuses on when and why decision-making goes awry in depression and anxiety disorders and on developing potent and scalable interventions to improve it. 

Our core methods are carefully designed behavioral tasks, conducted online and in the lab, and theory-driven computational modeling.

Some areas of particular interest are: 

1) Understanding rumination and worry from a computational perspective 

2) Developing clinical principles grounded in computational theories and translating them into self-guided treatments

3) Understanding the emotional, cognitive, and environmental contexts in which decision-making goes awry in depression and anxiety disorders

Google Scholar