PhD Student - Deep learning, Self-supervised learning and Contrastive learningEmail: email@example.com
PhD Scolarship: Sviluppo di tecniche di modellazione, ottimizzazione e predizione avanzate, in ambito veicolare, sulla base di dati di telematica e da sistemi IoT
I am a PhD student in Pure and Applied Mathematics at Politecnico di Torino and a member of SmartData@Polito center.
I achieved my bachelor degree in Mathematics for Engineering in 2018 and my master’s degree in Mathematical Engineering in 2020, both at Politecnico di Torino.
My current research, focused on deep learning, self-supervised learning, and contrastive learning, is jointly developed with Tierra S.p.A., within a particular training program that combines doctorate and apprenticeship, supported by the local government of the Piedmont region to promote high-level education.