About
Hello! I am Francesco D’Amico, a PhD student in Physics at Sapienza University of Rome, where I work under the supervision of Matteo Negri and Chiara Cammarota on the topic of statistical theory of learning.
My research lies at the intersection of statistical mechanics, machine learning, and complex systems.
Research Interests
- Data structure in machine learning and neural scaling laws
- Associative memories and attention-class architectures
- Energy-based models and approximate likelihood methods
- Optimization and inference in hard computational tasks
Academic Background
- PhD in Physics, Sapienza University of Rome (2023–2026)
- Visiting PhD Student, École polytechnique fédérale de Lausanne (EPFL) - Matthieu Wyart - PCSL group (March - May 2026)
- Visiting PhD Student, Complutense University of Madrid - Group of Beatriz Seoane (March - May 2025)
- Master’s Degree in Theoretical Physics, Sapienza University of Rome, 110/110 cum laude (2021-2023)
- Physics department excellence program, Sapienza University of Rome (2018-2023)
- Bachelor’s Degree in Physics, Sapienza University of Rome, 110/110 cum laude (2018-2021)