Since 2024, I have been a Full Professor at the University of Bologna, where my research focuses on gravitational wave science.
I am a member of the LIGO/Virgo/KAGRA collaboration, working on data analysis and the application of artificial intelligence techniques for detector characterization and the detection of astrophysical gravitational wave signals. I am the author of numerous scientific publications and actively contribute to several European and international research initiatives.
Previously, I served as Head of the Data Science Office at the European Gravitational Observatory and held the position of Associate Faculty at Scuola Normale Superiore from March 2018 to January 2024. I bring over 20 years of experience in data analysis for the Virgo experiment. I hold a degree in Physics, with a specialization in Statistical Analysis in Astrophysics focused on the large-scale structure of the Universe, and I began my work on Virgo during my Ph.D. fellowship in the Physics Department at the University of Pisa.
My expertise lies in noise analysis and system identification, with the development of algorithms for data conditioning and signal detection. From 2008 to 2014, I led the Virgo noise analysis group, designing algorithms for data characterization and transient signal analysis, including early applications of machine learning techniques. From 2014 to 2018, I served as Scientific Coordinator of the GraWIToN Initial Training Network, dedicated to training early-career researchers in gravitational wave science.
Within the LIGO/Virgo collaboration, I co-chaired the Machine Learning informal group and attained the Kaggle Master rank. I was also the main proposer and Action Chair of COST Action CA17137, “A Network for Gravitational Waves, Geophysics, and Machine Learning,” fostering interdisciplinary collaboration at the European level.