I graduated in Trieste in Theoretical Physics with a thesis in applications to Computer Science and large scale discrete optimization problems. I then moved to Turin where I did a PhD in Computational Neuroscience, and also got interested in Bioinformatics and inference problems. Throughout I kept an eye on theoretical aspects of Machine Learning and Neural Networks, which are my main focus lately.
My research interests focus on the application of Statistical Mechanics to machine learning and computational neuroscience, and more generally to large-scale inference and optimization problems. Lately I've been particularly interested in studying the loss landscape of neural networks, analytically and numerically.
Unreasonable effectiveness of learning neural networks: from accessible states and robust ensembles to basic algorithmic schemesPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016
I teach and have taught a number of programming courses, from undergraduate to PhD level, using Python and Julia.