Martina Contisciani

Postdoctoral researcher @ Central European University
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Department of Network and Data Science

Central European University

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.

news

Oct 01, 2024 Tiago’s group, now renamed the Inverse Complexity Lab, has moved to IT:U in Linz.
Jul 02, 2024 Upcoming talk at the 2024 ISBA World Meeting. I will present the paper “Latent network models to account for noisy, multiply reported social network data” during the invited session “Bayesian Analysis of Network Data”.
Jun 03, 2024 New article on arXiv: “Flexible inference in heterogeneous and attributed multilayer networks”.