Mattia Rosso
- Ph.D. Student, Statistics
I'm a PhD student in Statistics, part of the Bayesian Deep Learning group, exploring scalable approximate Bayesian inference methods, probabilistic perspectives of modern over-parametrized deep learning and generative modeling techniques with an interest for real-world applications.
Biography
Mattia Rosso got his Bachelor's degree at Politecnico di Torino in Computer Engineering in 2021. He went on to pursue a double-degree Master's program in Data Science, split between EURECOM in Sophia-Antipolis, France, and Politecnico di Torino's AI & Data Analytics track.
During his master's studies, he gained early research experience at EURECOM in the summer of 2023, investigating Gaussian Processes and Bayesian methods for uncovering conditional independence structure in input features. He then completed his master's thesis internship at ALTEN Labs in Sèvres, France, where he applied Bayesian particle filters theory to sensor fusion problems in autonomous driving systems, merging occupancy grid data from multiple vehicles and roadside sources.
Since September 2024, he has been a PhD student in the Statistics department at KAUST, where he works within the Bayesian Deep Learning group on the theoretical foundations of generalization in large-scale neural networks.
Education
- Laurea Magistrale (L.M.)
- Computer Engineering, Politecnico di Torino, Italy, 2024
- Bachelor of Science (B.S.)
- Computer Engineering, Politecnico di Torino, Italy, 2021