Two spotlight papers at ICML 2024; AAAI 2024 - New Faculty Highlights; DAAD AInet Fellowship (2023); Oral presentation at ICML 2023; Notable paper at AISTATS 2023; Spotlight presentation at NeurIPS 2021; Premio NeoDottori di Ricerca Marco Cadoli 2021 (AIxIA) - best Italian Ph.D. thesis in AI; Oral presentation at NeurIPS 2018; Premio NeoLaureati Leonardo Lesmo 2018 (AIxIA) - best Italian M.Sc. thesis in AI; Runner-up (Best academic team) at ACM RecSys Challenge 2017. Involved in several competitive research projects such as HUmLrn, AI4REALNET, iBeCHANGE, FAIR, CLINT, etc.
Research Experience
Assistant Professor at DEIB, Politecnico di Milano since 2023; Postdoctoral Researcher at DEIB, Politecnico di Milano from 2020 to 2023.
Education
Ph.D. in Information Technology from Politecnico di Milano in 2021, supervised by Prof. Marcello Restelli; M.Sc. in Computer Science and Engineering from Politecnico di Milano in 2017; B.Sc. in Engineering of Computing Systems from Politecnico di Milano in 2015.
Background
Research interests focus on Artificial Intelligence and Machine Learning, particularly Reinforcement Learning. Currently working on theoretical and algorithmic aspects of Inverse Reinforcement Learning, Efficient Sample (Re)Use in Reinforcement Learning, Multi-Armed Bandits, Automated Reinforcement Learning, and Preference-based Reinforcement Learning. Also interested in algorithms, optimization, statistics, probability, and recommendation systems.
Miscellany
Erdős number is 3; Co-founder of ML cube S.r.l., a spin-off innovative startup of Politecnico di Milano, part of Kayrhos Group.