Simone Daniotti was a PhD student at the Complexity Science Hub from October 2021 until the end of September 2024. Simone is currently a researcher in the Copernicus Institute of Sustainable Development at Utrecht University, studying the topic of sustainable innovation in firms. Simone is also pursuing his PhD at TU Wien.

His research interests generally lie at the intersection of social science and mathematics. His primary focus areas include mobility, public transportation, the economic aspects of urban environments, and AI. He employs various methodologies–including complex network analysis, statistical methods, and agent-based simulations–to explore and understand these topics.

Simone received his master’s degree in physics from the University of Studies of Milano, with a thesis in collaboration with Sony Computer Science Laboratories Paris, entitled “Maximum Entropy Approach for the Prediction of Urban Mobility Patterns.” In this work, Simone studied the activity and correlations between different zones of a metropolitan area, using statistical inference and machine learning models.