Education

From physics fundamentals in the Italian Alps to gravitational wave research in Scotland.

PhD (Not completed) Sep 2018 – Mar 2023

University of Glasgow

Astronomy and Astrophysics

  • Conducted research in gravitational wave data analysis within the LIGO Scientific Collaboration, focusing on searches for compact binary coalescences.
  • Led the parameter estimation analysis of GW200105 — the first confirmed gravitational wave signal from a neutron star–black hole merger, published in The Astrophysical Journal Letters.
  • Developed and maintained Bayesian inference pipelines using Python (PyCBC, LALSuite, Bilby) running on high-performance computing clusters.
  • Contributed to the GWTC-2 and GWTC-3 gravitational wave transient catalogs.
  • Presented results at international conferences and collaboration meetings.
Python Bayesian Inference HPC LIGO GW Astronomy
Master's Degree Sep 2015 – Oct 2018

Università di Trento

Physics

  • Specialized in astrophysics and computational methods, with coursework in general relativity, quantum field theory, and statistical mechanics.
  • Completed research internships abroad at Cardiff University and the University of Mississippi (LIGO), gaining hands-on experience in gravitational wave data analysis.
  • Master's thesis on gravitational wave signal reconstruction from compact binary coalescences.
Physics Astrophysics MATLAB Python
Bachelor's Degree Sep 2012 – Sep 2015

Università di Trento

Physics — Grade: 110/110

  • Solid foundation in classical mechanics, electromagnetism, thermodynamics, quantum mechanics, and mathematical methods for physics.
  • Graduated with top marks (110/110), demonstrating strong analytical and problem-solving skills.
Physics Mathematics 110/110

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