About

Born and raised in Iglesias, Sardinia, I left my hometown to pursue an education in Pisa when I turned 18. A few years later, I graduated with honors in Modern Literature (BA) and Linguistics (MA). During this period, I also embarked on three exchange programs which changed my life: London (where I supported myself by working part-time at McDonald’s), Stuttgart, and Hong Kong.

As an aspiring journalist, I contributed articles to several publications: Il Tirreno, L'Unità, Il Sole 24 Ore, and other newspapers. At the same time, I worked at Lionbridge, leading developer teams to implement the Microsoft grammar checkers for Italian, English, Portuguese, Brazilian, Hungarian, German, and Korean.

After graduating, I decided to move to Hong Kong in 2016 to obtain a doctorate in Computational Linguistics, supported by a prestigious fellowship from the former British colony.

Thanks to similar scholarships, three years of research followed, between Singapore and Boston. Here, I worked at CSAIL, the MIT Computer Science and Artificial Intelligence Laboratory, under the supervision of Regina Barzilay. In these years, I was exposed to the fervent world of deep learning and began to implement solutions for the media industry (automatic fake news detection for Facebook), healthcare industry (data extraction from medical records to better understand the breast and prostate cancer landscape), and pharmaceuticals (automatic documenting the activity of machinery, automatic identifying side effects of medicines in medical, legal and social media documents).

In 2020, I was fortunate to land a position at Bayer, New Jersey, as a Senior Lead Data Scientist. After a year, I was promoted to Director of Artificial Intelligence and Machine Learning in the Pharmacovigilance department, where I worked for another year and a half.

Today, I am Principal Technical Strategist for Human-AI Interaction and Academic Engagement at Bloomberg’s CTO office, in New York. Here, I work with world-renowned leaders to envision and plan for how Bloomberg will lead the active learning and human-in-the-loop annotation landscape in the years to come.

Over the years, I have authored over 60 papers, mentored startups and foundations, and had the honor of receiving numerous awards. In 2019, I was invited by the Office of Record management of to speak about natural language processing at the White House. In the following years, I co-authored two editions of AI and ML factsheets for the US Congress. In 2024, I was invited by the Italian Ministry of Foreign Affairs to speak at the “Conference of Scientific and Space Attachés and Agricultural Experts” in Turin, discussing how artificial intelligence can contribute to the development of Italy and Europe.

In my free time, I am the scientific advisor for the Women's Brain Project (WBP), MindPhi and K-Juicer. I continue to participate in international conferences and academic seminars. My work has been featured in major media publications such as Rai News, Rai Uno Mattina, Corriere della Sera, Il Fatto Quotidiano, VICE, MedPage Today, Wired, Millionaire, TG1, TG2, and more.

View the full list of my academic publications on Google Scholar.