Data Never Lie

Academic profile

Elena Cuoco

Full Professor, University of Bologna
Gravitational-wave science · Detector characterization · AI/ML for physics

www.elenacuoco.com

Google Scholar ORCID Download CV (PDF)

Selected metrics: Citations: 142216 · h-index: 129 (source: Google Scholar)

www.elenacuoco.com

Short bio

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
  • noise analysis
  • system identification
  • signal detection
  • machine learning
  • data science

Appointments

University of Bologna

Full Professor
2024 – present

European Gravitational Observatory

Head of the Data Science Office
2018 – 2024

Scuola Normale Superiore

Associate Faculty
2018 – 2024

Research interests

  • Gravitational-wave data analysis
  • Detector characterization and data quality
  • Noise studies and mitigation strategies
  • System identification and data conditioning
  • Transient signal detection
  • Machine learning for time series and complex instruments
  • Cross-disciplinary methods (physics · ML · geophysics)
  • Open science and research training

Member of the LIGO/Virgo/KAGRA (LVK) Collaboration.

Leadership and coordination

Virgo Noise Analysis Group

Group leader
2008 – 2014

GraWIToN ITN

Scientific Coordinator
2014 – 2018

COST Action CA17137 (G2Net)

Main proposer & Action Chair
Gravitational Waves · Geophysics · Machine Learning

COST page G2Net

ESCAPE Project

General Assemply Chari and Contributor
European Science Cluster of Astronomy & Particle Physics ESFRI Research Infrastructures

Project website

EOSC-Future

Extreme Universe Science Project Coordinator
European Open Science Cloud

Project website

Selected publications

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

Living Reviews in Relativity (2025)

Read paper

Machine learning for gravitational-wave science

Machine Learning: Science and Technology (2021)

Read paper

Full list on Google Scholar

Teaching and mentorship

I supervise and mentor undergraduate, master’s, and Ph.D. students on projects related to data analysis, statistical inference, and machine learning for gravitational-wave science.

  • Data analysis and statistical methods for physics
  • Machine learning for time series
  • Research training in international networks and schools

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

Here, you can find my personal website: www.elenacuoco.com