Simone Daniotti was a PhD candidate at the Complexity Science Hub from October 2021 until the end of September 2024.

He 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.

Simone was also pursuing his PhD at TU Wien.

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