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Martina Contisciani is a postdoctoral researcher at the Department of Network and Data Science at the Central European University.
She completed her 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". She also holds a master's degree in Data Science and a bachelor's degree in Statistics for Business and Economics, both from the University of Padua.
Her research focuses on the development of statistical methods and algorithms to analyze complex systems. Currently, she is working on the MOMA (Multiscale network modelling of migration flows in Austria) project together with Prof. Tiago P. Peixoto and Prof. Márton Karsai.