I am a geophysicist currently pursuing a PhD in Geosciences and Environment at the University of Pisa within a project funded by OGS. I hold a BSc in Geology and an MSc in Exploration and Applied Geophysics from the University of Pisa, where I graduated with honors in the MSc programme. My background in geology gave me a strong foundation in Earth sciences, which is essential for understanding geological structures and physical processes in seismological research.
I first approached geophysics during my bachelor’s degree through a thesis in rock physics focused on the analysis of laboratory samples to investigate the cohesion of granular materials. This experience introduced me to the quantitative study of subsurface properties and sparked my interest in geophysics. Over time, I became increasingly interested in seismology, which became the main focus of my academic path. During my MSc, I specialized in seismological methods, and in my Master’s thesis I developed I-HADES, a seismic event location method combining deep learning and distance geometry approaches. This work also gave me the opportunity to explore machine learning and deep learning applied to geosciences, further expanding my research interests.
My current research focuses on Distributed Acoustic Sensing (DAS) seismology, with particular emphasis on seismic source characterization using fibre-optic data. Through my PhD project, I work on improving the retrieval of source properties from this emerging technology.
I am naturally curious and always motivated to explore new ideas and challenges, both in research and in everyday life. Outside academia, I have a deep passion for the sea and enjoy surfing as an amateur. I am also passionate about sports, particularly volleyball and beach volleyball, which I practiced at a competitive level.
RESEARCH INTEREST
- Distributed Fiber-Optic Sensing
- Seismology
- Inverse theory
- Signal Processing
- Machine Learning
Research project: Development of Deep-Learning based methods for the analysis of DAS microseismic data.
Supervisors:
Professor Francesco Grigoli (UNIPI)
Professor Matteo Picozzi (CRS-OGS)
Guglielmo Vullo
Dipartimento di Scienze della Terra
Università di Pisa
Via Santa Maria 53
56126 Pisa
Italia