Academic profile

Gravitational wave science — AI/ML for physics

About in brief

I am a physicist and data scientist with more than twenty years of experience in data analysis for the Virgo gravitational-wave experiment. My work focuses on extracting weak astrophysical signals from complex detector data, with particular attention to noise analysis, system identification, and machine learning techniques for detector characterization and signal detection.

  • gravitational waves
  • Virgo
  • noise analysis
  • system identification
  • signal detection
  • machine learning
  • data science
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Academic path

  • 2026 – present

    Coordinator, Data Analysis & AI, CAOS Laboratory (Perugia)

  • 2024 – present

    Full Professor, University of Bologna

  • 2021 – 2025

    Co-Chair, Einstein Telescope Data Analysis Division

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Community leadership

EuCAIF — European Coalition for Artificial Intelligence in Fundamental Physics

Co-founder & Management Board member

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Featured publication

Applications of machine learning in gravitational-wave research with current interferometric detectors

Living Reviews in Relativity (2025)

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Contact

For collaborations, invited talks, or student supervision opportunities, please reach out via the contact details listed on my institutional page.

University of Bologna profile LinkedIn GitHub