Martina Contisciani

Martina Contisciani is a postdoctoral researcher in the Department of Network and Data Science at the Central European University and a visiting postdoc in the Inverse Complexity Lab at IT:U, led by Prof. Peixoto. She completed her PhD in Computer Science at the Max Planck Institute for Intelligent Systems and the University of Tübingen in 2024. Her research interest lies in the development of statistical methods and algorithms to study complex systems, with a focus on network inference. Currently, she is working on the MOMA (Multiscale network modelling of migration flows in Austria) project.