Scholar
Matteo Negri
Google Scholar ID: KvRjw-4AAAAJ
Senior Post-doc / Junior assistant professor, Università di Roma Sapienza
Citations & Impact
Citations
101
H-index
6
i10-index
5
Publications
13
Co-authors
11
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Involved in recent work on Hopfield networks and has a 5-minute presentation video.
Research Experience
- Part of the Chimera Group in the physics department of University of Rome Sapienza; main focus is finding strategies to optimize highly non-convex problems that arise in data science and biophysics; recent works focus on inferring the structure of data with unsupervised neural networks, trying to simplify modern architectures to understand deep learning with a physicist's perspective; studied local-entropy-based algorithms to train neural networks during his PhD, which find rare solutions with better generalization properties; applied the same kind of algorithms to characterize pre-biotic proteins and possible connections with the neutral theory of evolution.
Education
- Senior Post-Doc at Università di Roma Sapienza; PhD in Physics at Politecnico di Torino; Master's Degree in Physics at Università degli studi di Milano
Background
- A physicist working on complex systems using both a theoretical and computational approach. Enjoys multidisciplinary topics and likes finding similarities between very different problems.
Miscellany
- Firmly believes in the social role of science and scientists, but also enjoys science popularization; recently involved in initiatives for high-school students organized by his university and in some history-of-physics lectures for adults organized by a book store; participating in the FameLab competition this year.
