About

I’m an applied scientist working on natural language processing and large language models. I spent ten years in academic research before joining Amazon in 2019.

Industry

Amazon, Barcelona. Senior Applied Scientist, April 2022 to present; Applied Scientist, March 2019 to April 2022.

• Led the science for bringing customer review insights into the AI Overviews in Amazon search.
• Worked on the science behind AI-generated review highlights, the “Customers say” summaries on Amazon product pages. I contributed to every part of the multilingual system that turns millions of reviews into these summaries. Launched in the U.S. in 2023 and since expanded to Amazon marketplaces worldwide.
• LLM-as-a-judge methods to evaluate LLMs, for internal use and in research published at EMNLP 2026. My recent work studies when LLM judges can stand in for human evaluators, and how to capture the ways humans disagree.
• Mentoring applied science interns.

Research

University of Amsterdam. Postdoctoral researcher in NLP, September 2015 to February 2019.

• Worked with Ivan Titov at the Institute for Logic, Language and Computation, and from July 2017 as a visiting researcher at the School of Informatics, University of Edinburgh.
• Graph neural networks for semantic role labeling, machine translation, and text generation (best short paper award at INLG 2018).

ISTI-CNR, Pisa. Machine learning and NLP researcher, September 2009 to July 2015.

• Human Language Technology group, working with Fabrizio Sebastiani and Andrea Esuli.
• PhD in Computer Science (University of Venice, Ca’ Foscari, 2014), completed while at ISTI-CNR.
• Information extraction, opinion mining, and active learning.
• Visiting researcher at the University of Amsterdam, September to November 2014.

Education

• PhD in Computer Science, University of Venice (Ca’ Foscari), 2014
• MSc in Computer Science, University of Pisa, 2009
• BSc in Computer Science, University of Perugia, 2006

Talks

• Encoding Linguistic Structures with Graph Convolutional Networks
  Invited talk at the South England NLP Meetup. 2018.
• Neural Methods for Semantic Role Labeling
  Second part of the tutorial on semantic role labeling at EMNLP 2017. 2017.
• Recurrent Neural Networks and Encoder-Decoder Models
  Guest lecture for Ivan Titov's course on Unsupervised Language Learning at UvA. 2016.
• Memory Networks and Neural Turing Machines
  Guest lecture for Ivan Titov's course on Unsupervised Language Learning at UvA. 2016.