Hey there! I have recently graduated from the Data Science MSc program at the University of Trieste and SISSA. For my thesis project, I worked with the ItaliaNLP Lab and the L2R Lab under the joint supervision of Felice Dell’Orletta and Davide Crepaldi on NLP and psycholinguistics perspectives for linguistic complexity assessment.
My research interests focus on interpreting deep models and understanding their learning dynamics, in particular when dealing with natural language. I am also interested in positive social applications of machine learning and ethical AI.
MSc in Data Science, 2020
University of Trieste & SISSA, IT
DEC in Software Management, 2018
Cégep de Saint-Hyacinthe, CA
My master’s thesis “Interpreting Neural Language Models for Linguistic Complexity Assessment” is available in PDF/Gitbook formats here. Feedback and comments are welcome! 🙂
18/12/2020: My system UmBERTo-MTSA received a special mention at the 7th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian (EVALITA 2020).
11/12/2020: Graduated from the Data Science MSc: 110 Cum Laude! 🎉
A semantic browser for SARS-CoV-2 and COVID-19 powered by neural language models.
Generating letters with a neural language model in the style of Italo Svevo, a famous italian writer of the 20th century.
A journey into the state of the art of histopathologic cancer detection approaches.