On February 2023 I started a job as a lecturer at the University of Groningen (RUG). I am the course coordinator of Object-Oriented Programming at the B.Sc. level and I have also been designed as coordinator of the courses Trustworthy & Explainable AI and Unsupervised Deep Learning, both M.Sc. courses planned to start from the A.Y. 2024/25. In addition, I am also lecturer in the courses of Introduction to Machine Learning (B.Sc.), Methodology in AI (M.Sc.), and Deep Learning (M.Sc.).

Previously, I was a Ph.D. student at the Department of Engineering and Architecture at the University of Trieste, Italy, where discussed my thesis on Febuary 22nd 2023. My research field is broadly centered around Deep Learning, with a focus on pruning and, more generally, model compression techniques. I am also experimenting with practical applications of Deep Learning to Computer Vision, mainly for digital heritage, and I’m getting acquainted with techniques such as open set learning. Lately, I also started researching the topic of uncertainty estimation in deep neural network, mainly in connection to anomaly/novelty detection.

As a side activity, I’m a founder and former president and treasurer of the Artificial Intelligence Student Society (AI2S) with which I have collaborated in organizing multiple dissemination activities, like AI Talks 2022, and job orientaton activities, like the AI Job Fair.

In 2019, I gained my M.Sc. in Data Science and Scientific Computing cum laude at the University of Trieste. From 2014 to 2018 I worked as a business analyst-consultant at Capgemini and Allianz Italy, doing some programming, handling quality control tasks and collaborating with the creation of new business and IT processes. In 2013 I was a junior researcher at SWG where I helped with data analysis, programming, and data collection. In 2012, I obtained my B.Sc. in Statistics at the University of Trieste.