In my research, I investigate how contextual information affects the comprehension of words, through the frameworks of Distributional Semantics and Deep Learning. Some topics I am particularly interested in are ambiguity, reference, and the interaction between prediction and processing. My work is part of the ERC project "AMORE: A distributional MOdel of Reference to Entities" (PI: Gemma Boleda). I am member of the UPF research group COLT (Computational Linguistics and Linguistic Theory).
Before starting the PhD, I obtained a BA in Digital Humanities from the University of Pisa (2012-2015) and a MSc in Logic from the University of Amsterdam (2015-2017). During this time, I carried out research on metaphors, referring expressions in dialogue and negated adjectives.
When I was a kid, I wanted to be a poet; instead, I became a researcher in Computational Linguistics. Clearly, I have always been a big fan of words.