Max Pellert is interim Professor for Social and Behavioural Data Science
at the University of Konstanz. He is broadly interested in the social
sciences and uses traditional and novel computational methods from
domains such as Natural Language Processing to study belief updates,
emotional decay on social media, polarization, psychometric aspects of
large language models, emotional well-being measured from textual data,
semantic embeddings as complements to human ratings and many other
interesting phenomena.