I am Co-Founder & CTO at Samaya AI, building an AI-powered knowledge-discovery platform.

From 2018 to 2022, I was a Researcher at the FAIR (Fundamental AI Research) team of Meta AI (formerly known as Facebook AI Research), where I focused on Knowledge-Intensive Natural Language Processing.

Before that, I was a Research Scientist at the R&D department at Thomson Reuters and a Data Engineer at KMPG.

I obtained my PhD from Sapienza University where I was part of the Research Center on Cyber Intelligence and Information Security. My thesis advisor was Prof. Leonardo Querzoni.

During my PhD I've been a Visiting Researcher at the University of Mannheim in the Data and Web Science Group under the supervision of Prof. Rainer Gemulla.

 

Invited talks:

- Panelist at the Workshop on Generative Information Retrieval @SIGIR23 (July 2023)

- Invited talk at the London Information Retrieval Meetup (June 2023)

- Invited talk at the Edinburgh ILCC Seminar Series (April 2023)

- Invited talk at London AI (November 2022)

- Invited talk at NL4AI (November 2022)

- Invited talk at DeepMind (November 2022)

- digitaltrends interview (August 2022)

- PointerPodcast interview (in Italian, August 2022)

- Il Messaggero interview (in Italian, July 2022)

- Invited talk at UCL AI Society Journal Club (18 January 2022)

- Invited talk at AI Ukraine (30 October 2021)

- Deep Learning and Natural Language Processing lesson for the Data Mining Technology for Business and Society course of Prof. Stefano Leonardi at Sapienza, University of Rome (15 May 2021)

- Invited talk at JEEC|21 (19 March 2021)

- Invited talk at Stanford MLSys Seminar Series (11 March 2021)

- Panelist at AI + Knowledge - a match made in heaven? (30 November 2020)

- Invited talk at Unstructured and Structured KBs workshop (25 June 2020)

- Deep Learning and Natural Language Processing lesson for the Data Mining Technology for Business and Society course of Prof. Stefano Leonardi at Sapienza, University of Rome (14 May 2020)

 

Awards:

- Best Poster in the NeurIPS 2021 ENLSP Workshop for "Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models"

- 1st place at the NeurIPS Efficient Open-Domain Question Answering competition 2020 for the 6GB constrained track and unconstrained track

- Google Best Paper Award at AKBC 2020  for "How Context Affects Language Models' Factual Predictions"

- Best Paper Award Runner Up at DIMWA 2019 for "SAFE: Self-attentive function embeddings for binary similarity"

- Research grant for the "Avvio alla Ricerca" (research launch) project from Sapienza (2015), title "SARE: Scalable Algorithms for Relation Extraction with contextual data"

- Finalist at the Telecom Italia Big Data Challenge 2014. A. Anagnostopoulos, F. Petroni, M. Sorella: “COLITA: Collaborative Interest-driven Targeted Advertising”

- Enrolled in the "percorso d'eccellenza" (excellence path program) for MSc. in Computer Engineering: special program for top 10th students in the MSc, a.y. 2011/2012

- Award "laureato eccellente Sapienza" (excellent graduate Sapienza), a.y. 2011/2012

 

download my cv (quite outdated)