Martina Contisciani

My research focuses on the development of statistical methods and algorithms to analyze complex systems, with a particular interest in network inference. Currently, I am working on the MOMA (Multiscale network modelling of migration flows in Austria) project together with Prof. Tiago P. Peixoto and Prof. Márton Karsai.

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.