Eugenio Valdano graduated in Physics in 2010 with a thesis about Quantum information and
computation, at the University of Torino, in Italy. He then enrolled in the Master course in Theoretical Physics, and in October 2012 he completed his thesis working at the Computational Epidemiology Lab at ISI Foundation, Turin, Italy. He then won a scholarship at the Université Pierre et Marie Curie, Paris, and was admitted to the PhD school in Public Health. He has defended his PhD in October 2015, and he is currently a Post-doc at Epicx-Lab.
Eugenio's main research field is the spread of diseases on time-evolving networks. Specifically, he is developing tools, both analytical and data-driven, to assess and predict how vulnerable a system is to the introduction of a new pathogen, both at the population level, and targeting specific hosts.
He applies his theoretical findings to various contexts of high relevance in Public Health perspective, from the spread of livestock disease among cattle holdings, from human hospital acquired infections.