Matteo Negri
Neural networks | Disordered systems | Biophysics
I am a physicist fascinated by investigating complex systems with both a theoretical and computational approach.
I enjoy multidisciplinary topics and I like finding similarities between very different systems.
I am a physicist fascinated by investigating complex systems with both a theoretical and computational approach.
I enjoy multidisciplinary topics and I like finding similarities between very different systems.
Junior Assistant Professor at Università di Roma Sapienza
PhD in Physics at Politecnico di Torino
Master's Degree in Physics at Università degli studi di Milano
Here is my updated CV.
Contact me at
matteo.negri@uniroma1.it
Research interest
My main focus is finding strategies to optimize highly non-convex problems that arise in data science and biophysics.
My recent works focus on inferring the structure of data with unsupervised neural networks, trying to simplfy modern architertures to understand deep learning with a physicist's perspective.
During my PhD I also studied local-entropy-based algorithms to train neural networks, which find rare solutions with better generalization properties. I applied the same kind of algorithms to characterize pre-biotic proteins and possible connections with the neutral theory of evolution.