Research
Emanuele Natale (CNRS)
Short bio
Before accepting a CNRS position in 2018, Emanuele Natale has been a fellow of the Simons Institute for the Theory of Computing in the Brain and Computation Program and a postdoctoral fellow at the Max Planck Institute for Informatics. In 2019, he has received the Best Italian Young Researcher in Theoretical Computer Science award by the Italian Chapter of the European Association of Theoretical Computer Science, from which he also received the Best PhD Thesis in Theoretical Computer Science in 2017. In 2016, he has been a recipient of the Best Student Paper Award at the European Symposium on Algorithms.
Research topic | Neural network sparsity and applications
We investigate interdisciplinary challenges spanning machine learning, computational neuroscience, and theoretical computer science. Our research addresses neural network sparsification, modeling brain organization, and understanding multi-agent systems. We develop algorithmic tools and mathematical frameworks to explore these areas, including the Assembly Calculus for cognitive processes and computational dynamics for distributed systems. We also apply our methodologies to theoretical biology, studying collective behaviors in biological systems.