Selected Publication: 'Large deviations in the perceptron model and consequences for active learning' published in MACHINE LEARNING: SCIENCE AND TECHNOLOGY, 2021.
Research Experience
Has research experience at Microsoft Research (Cambridge, MA, USA), ENS in Paris, and EPFL in Lausanne.
Education
PhD obtained in 2018 from the Polytechnic of Turin.
Background
Research Interests: At the intersection of Machine Learning and Statistical Physics. Aims to develop simple theoretical models that allow better understanding of the complex behavior of learning algorithms.
Miscellany
Teaches courses: 'COMPUTER PROGRAMMING' and 'FOUNDATIONS OF PHYSICS I'.