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About me
Martina Contisciani is a postdoctoral researcher at the Center for Critical Computational Studies (C3S) at Goethe University Frankfurt. Her research focuses on the development of statistical models and algorithms for the study of complex systems, with a particular interest in inferential methods. She is also passionate in applying these methodologies to real-world problems and she is currently involved in the MOMA project, which aims to model the multiscale network structure of migration flows in Austria. Martina received her Ph.D. in Computer Science in 2024 from the Max Planck Institute for Intelligent Systems and the University of Tübingen. 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.