Welcome to my website! 👋 I am a PhD student at the Computational Linguistics Group of the University of Groningen. I am part of the NWO-funded project InDeep: Interpreting Deep Learning Models for Text and Sound, focusing on interpretability for neural machine translation. I am supervised by Arianna Bisazza, Malvina Nissim and Grzegorz Chrupała.
Previously, I was a research scientist at Aindo, a student in the Data Science MSc at University of Trieste & SISSA and a founding member of the AI Student Society. My master’s thesis with the ItaliaNLP Lab in Pisa was about the study of linguistic complexity using gaze recordings and neural language models.
My research focuses on interpretability for NLP models, in particular to the benefit of end-users and by leveraging human behavioral signals. I am also passionate about social applications of machine learning, ethical AI, and open source collaboration.
PhD in NLP, 2021 - Ongoing
University of Groningen, NL
MSc in Data Science, 2020
University of Trieste & SISSA, IT
DEC in Software Management, 2018
Cégep de Saint-Hyacinthe, CA
Starting a PhD on interpretability for NMT at the University of Groningen in September 2021. I will be part of the NWO InDeep nework, working with Arianna Bisazza, Malvina Nissim and Grzegorz Chrupała.
Our paper “That Looks Hard: Characterizing Linguistic Complexity in Humans and Language Models” was selected among the best papers for CMCL 2021! Code is available here.
My master’s thesis “Interpreting Neural Language Models for Linguistic Complexity Assessment” is available in PDF/Gitbook formats here. Feedback and comments are welcome! 🙂
The first CLIP model pretrained on the Italian language.
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.