Martina Contisciani

My research focuses on the development of statistical methods and algorithms to analyze complex systems, with a particular interest in network inference. I am also passionate in applying these methodologies to real-world problems and I am currently involved in the MOMA project, which aims to model the multiscale network structure of migration flows in Austria.

I completed a Ph.D. in Computer Science at the Max Planck Institute for Intelligent Systems and the University of Tübingen, supervised by Dr. Caterina De Bacco, with a doctoral dissertation entitled “Probabilistic Generative Models for Inference on Complex Systems”. My Ph.D. has been supported by the Cyber Valley and the International Max Planck Research School for Intelligent Systems (IMPRS-IS). I also hold a master’s degree in Data Science and a bachelor’s degree in Statistics for Business and Economics, both from the University of Padua.

For more details, check my CV.