I am a petrologist and volcanologist working on igneous systems, quantitative petrology, volcanic hazard assessment, and the application of machine-learning methods to Earth science. After returning to academia in 2014 following a period of work in e-marketing, web development, and e-commerce, I developed a new research line focused on applying machine learning to high-dimensional petrological and geochemical datasets. Since 2002, I have also developed and managed an LA-ICP-MS laboratory that supports research in tephrochronology, magma dynamics, and crustal evolution. In parallel, I devote significant effort to teaching and training through university courses, international short courses, and two books on Python and machine learning for Earth scientists. Over the past five years, I have published over 50 articles in high-ranking international journals, two books, and secured approximately 6 € milion in competitive research funding, either European and local. I am the proud coordinator of the MSCA REALISE Doctoral Network and REALI3SE Staff exchange projects. I have also been invited to speak at international conferences and leading academic institutions on topics such as Machine Learning in petrology and volcanology.
REALISE is a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network training 15 Doctoral Candidates to explore the potential of Artificial Intelligence in Igneous Petrology - read more about REALISE Doctoral Network
Are you an igneous petrologist with an ambitious research idea? We're inviting motivated researchers to explore hosting opportunities with our research group at the University of Perugia for a Marie Skłodowska-Curie Postdoctoral Fellowships.
We're looking for candidates with: A strong publication record and a well-defined project idea in quantitative petrology or AI applications volcanic systems
⚠️ Limited slots! We will support a maximum of 2 applications to ensure high-quality mentoring.
What we offer to support your MSCA PF 2026 application:
✅ Hands-on support in the proposal design & writing
✅ Structured internal review and iterative feedback
✅ Access to a broad international research network
✅ Integration within active MSCA Doctoral Network & Staff Exchange projects
Interested? Send your 1-page CV + 1-page concept note as soon as possible.