I am a research scientist on the Facebook Artificial Intelligence Research (FAIR) team, joining in November 2016. I received my PhD in theoretical linguistics from the University of California, Los Angeles, in 2000. After various experiences in research and industry, I joined the faculty of the University of Trento (Italy) in 2006, as associate professor at the Center for Mind/Brain Sciences. My work there focused on general methods for natural language understanding that rely on raw input data, such as large amounts of text and images. My work was partially supported by a Google Research Award and an ERC Starting grant.

My focus at FAIR is on methods to train machines to interact with humans (and with each other) through natural language. To address this challenge in a general way, we need to tackle issues such as the following: where to find (or how to generate) data to train conversational machines in the right interactive setup; how to make them adapt fast to the constantly changing state of conversations; how to make them aware of the real-world context in which a conversation is taking place; how to make them understand what is part of the common-ground knowledge shared by the participants in the conversation, and so on. I am interested in all of these aspects and more.


Methods to train machines to interact with humans through natural language.