Scholar
Francesco D'Amico
Google Scholar ID: fcoliR8AAAAJ
PhD student, Sapienza University of Rome
Citations & Impact
Citations
11
H-index
2
i10-index
0
Publications
5
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- No specific academic achievements mentioned.
Research Experience
- Research on the statistical theory of learning during his PhD at Sapienza University of Rome.
Education
- 1. PhD in Physics, Sapienza University of Rome (2023-2026), Supervisors: Matteo Negri and Chiara Cammarota
- 2. Visiting PhD student, Complutense University of Madrid (2025)
- 3. Master’s Degree in Theoretical Physics, Sapienza University of Rome, 110/110 cum laude (2021-2023)
- 4. Physics department excellence program, Sapienza University of Rome (2018-2023)
- 5. Bachelor’s Degree in Physics, Sapienza University of Rome, 110/110 cum laude (2018-2021)
Background
- Research interests lie at the intersection of statistical mechanics, machine learning, and complex systems. Specific areas include the role of data structure in machine learning and neural scaling laws, associative memories and Transformer-class architectures, algorithms for approximate likelihoods in energy-based models, and optimization and inference in hard computational tasks.
Miscellany
- Contact: francesco.damico@uniroma1.it; GitHub profile; Google Scholar page
Co-authors