RTDA

PhD in Physics | RTDA (PNRR), University of Parma
Research Focus: Statistical Physics of Machine Learning, Quantum Many-Body Systems, Neural Networks, Disordered Systems

Education:
• PhD in Physics, University of Milan (2016) – Excellent
• Master in Physics, University of Milan (2008) – 110 cum laude
• Bachelor in Physics, University of Milan (2008) – 110 cum laude

Key Positions:
• Fellini Fellow (Marie Curie Cofund), INFN Milan (2020–2023)
• Marie Curie Fellow, University of Nottingham (2017–2019)
• Research Fellow, University of Nottingham (2016–2017)

Grants & Awards:
• Abilitazione Scientifica Nazionale (ASN) as Professore di II fascia (2024)
• Fellini Fellowship (ranked 1st/214)
• Marie Curie Individual Fellowship (2017)
• Multiple PRIN projects as Co-PI (declined due to position incompatibility)

Selected Publications:
• Nature Communications (2025), Nature Machine Intelligence (2023, 2024), Physical Review Letters (2020, 2024, 2025)
• Editor’s Selections and Journal Covers

Supervision:
Mentored 10+ Msc, PhD and postdoctoral researchers, many now at leading institutions (ENS Paris, EPFL, UniBocconi).

Teaching:
Lecturer in Physics of Machine Learning (PhD level), Statistical Mechanics, and Quantum Mechanics.

Invited Talks:
JETC2025, Roc(k)in’AI, FBK, ICTP, EPFL, QTML2018 and others.

Google Scholar:
https://scholar.google.com/citations?user=XCWbt2EAAAAJ
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Expert in bridging statistical physics with machine learning and quantum systems. Strong record of
leadership, funding, and high-impact publications.