I am a postdoctoral researcher at the Université Côte d’Azur (Nice, France) and a member of the Maasai team since November 2021. My research interests lie in Machine Learning and Artificial Intelligence. Specifically, I focus on studying Machine Learning algorithms for processing data streams that exhibit dynamical properties. My research encompasses both theoretical exploration and practical applications in Computer Vision. From the theoretical standpoint, I have proposed and developed a framework rooted in Calculus of Variations for interpreting laws of learning. In the visual domain, I have applied these ideas to develop learning agents that utilize deep architectures to extract features that consider motion-induced regularities. (More information on this work can be found here.) Currently, I am working on formulating online continual learning in a principled manner, aiming to investigate the relationship between learning problems over time and optimal control.
In addition to these activities, I have been involved in studying a singular transport equation that arises as a formal limit of the discrete open mancala game.
Prior to my PhD, I obtained a Master’s Degree in Theoretical Physics from the University of Pisa. During my master’s studies, I focused on investigating the large-N CP(N-1) sigma model on a finite interval in connection with solitonic solutions, which are believed to be relevant for the problem of confinement in QCD.
My spare time is mostly devoted to the study of the theory and the practice of pasticceria guided and inspired by the work of Igino Massari.
- In 2020 I received my Ph.D. in Computer Science (Smart Computing) form the Universities of Florence, Pisa and Siena with a thesis titled “A Variational Framework for Laws of Learning”
- In 2016 I earned my Master Degree in Theoretical Physics at the University of Pisa with a thesis titled “Complex Projective Model on a Worldstrip”
- In 2014 I graduated in Physics at the University of Pisa with a thesis on the well posedness of symmetric systems of PDEs.
For additional information you may download my CV in the following formats:
Google Scholar Profile — Erdős number: 4
Fondamenti di Informatica
- Lezione 1 (13/11/2019)
- Lezione 2 (20/11/2019)
- Lezione 3 (21/11/2019)
- Lezione 4 (22/11/2019)
- Lezione 5 (08/01/2020)
- Lezione 6 (16/01/2020)
Last modified: 24 October 2023 15:15.