PhD Candidate, CSH Vienna & TU Wien
Simone Daniotti has been a PhD Candidate at the Complexity Science Hub Vienna and TU Wien since October 2021. He received his MSc degree in physics at 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 the correlations between different zones of a metropolitan area, using statistical inference and machine learning models.
Currently Simone’s research interest lies in the crossing point of social science and mathematics. In particular, the main topics are complex networks, data inference, and agent-based modeling for mobility systems.