Daniele joined the Complexity Science Hub as a PhD candidate in January 2025.

Working with the ERC-funded Collective Minds group, his research explores how beliefs form and spread through society. He studies language models both as tools for social science research – simulating social dynamics and inferring beliefs from text data – and as technological actors that actively shape human behavior and beliefs.

He holds a bachelor’s degree in Philosophy from Ca’ Foscari University of Venice and a master’s degree in Data Science from the University of Padova. During his master, he conducted a research internship at TU Graz, where he investigated bias in large language models and their impact on diversity in academic recommendations.