Opinions are my own.
I am a senior AI research engineer at Bloomberg LP, working on their financial search engine where I build software systems based on machine learning (ML).
I have experience in designing and developing ML systems for the classification and ranking of news stories. This involves the ML system in its whole lifecycle - data analysis, collection, annotation, model training and evaluation, as well as its deployment (and maintainance) in an existing production infrastructure which serves millions of requests per day.
I worked on automating our ML development pipeline through different and reusable software components that are currently used by different teams.
I also have experience in documenting, debugging, fixing, and migrating legacy systems into modern software services/libraries.
Prior to joining Bloomberg I was a PhD student at the University of Pisa. During my PhD studies I worked in the domain of information retrieval and I published different research works on entity relatedness, entity salience, fact salience, and expert finding.
I am a former member of the A³ Lab at the University of Pisa, and an ex-research intern at Max Planck Institute for Informatics.
During my spare time I enjoy traveling, taking photos, watching movies, cooking, and reading.
PC member of Wikidata Workshop @ ISWC (2021), and Wikidata Workshop @ ISWC (2020).
Subreviwer for ECIR (2020), WSDM (2020), and WSDM (2017).
Reviewer for FGCS (2019), ESA (2019), and JASIST (2019).
Organizer of the first PhD Event (2019) @ University of Pisa.
Designer of the logo for IWOCA (2019) and WEPA (2018).
Author for SoBigData Newsletter (2018).
Student volunteer at ACM SIGIR (2016).
Introduction to Search Engines
Meet Computer Science,
University of PisaApril 2021
Contextualizing Trending Entities in News Stories
WSDMMarch 2021
Video Slides Poster
Algorithms for Knowledge and Information Extraction in Text with Wikipedia
Department of Computer Science, University of PisaMarch 2019
Slides
A Software Suite for the Understanding of Natural Language
Ital-IAMarch 2019
Project Slides
Knowledge Extraction in Text
PhD Event,
University of PisaFebruary 2019
Slides Video
A Two-Stage Framework for Computing Entity Relatedness in Wikipedia
CIKMNovember 2017
Google NLP SummitSeptember 2017
Poster
Slides
Algorithms and Applications for Web-Scale Knowledge Graphs (Part 2)
Department of Computer Science, University of PisaOctober 2017
Slides
Document Aboutness via Sophisticated Syntactic and Semantic Features
NLDBJune 2017
Slides
Algorithms and Applications for Web-Scale Knowledge Graphs (Part 1)
Department of Computer Science, University of PisaOctober 2016
Slides