At the Nicolas lab we study how people make sense of the social world. Our research is at the intersection of social cognition and interdisciplinary quantitative methods (e.g., machine learning and natural language processing). Specific topics include spontaneous stereotyping, perceptions of individuals who belong to multiple social groups (e.g., Multiracial and intersectional identities), first impressions based on facial appearance, and social biases in Artificial Intelligence.