His research examines how individuals perceive and evaluate one another across group boundaries (e.g., race, gender, sexual-orientation, occupation, etc), and the downstream consequences of such perceptions. To address these questions, he takes a multi-method approach, incorporating a broad range of behavioral (e.g., computer-mouse tracking, digital face modeling, group interactions), neural (e.g., fMRI, EEG), and statistical techniques (e.g., multilevel modeling, structural equation modeling).