The Computational Research on Affect and Learning (CORAL) Lab aims to characterize neurocomputational mechanisms underlying decision-making processes in people with personality disorders. 

The CORAL Lab leverages computational reinforcement learning models, multilevel modeling, and a range of methods, including fMRI, ECG, EDA, and eye tracking, to identify neural and physiological substrates of these decision processes.