About
I'm a Ph.D. candidate under the supervision of Walter Quattrociocchi at CDCS (Sapienza University of Rome), with a background in Data Science (M.Sc.) and Physics (B.Sc.).Currently, I'm visiting Jon Roozenbeek's lab at the University of Cambridge.
My studies broadly align with what's known as computational social science. That said, a more accurate description would be data science applied to the study of social dynamics and emergent behavior online.
My main research interests include misinformation spreading, online polarization, coordinated behavior, and the societal impact of large language models (LLMs). I take a data-driven approach using mostly tools from network science, along with statistics and machine learning.
Papers
Talks
- Speaker at the Cambridge Disinformation Summit (2026), Research Workshop on systemic risks from AI (talk available on YouTube)
- Invited by Kleber Oliveira and Michael Quayle for a seminar about using compression to study social media signals
- Invited by David G. Rand for a seminar about "The simulation of judgment in LLMs"
- Contributed talk at IC2S2 2025, "Decoding AI Judgment: How LLMs Assess News Credibility and Bias"
- Contributed talk at NetSci 2025, "A Compression-Based Approach to Detecting Automated and Coordinated Behavior on Social Media"
Media
Some of my work has been discussed in news outlets and social media. Here are some links (mostly in Italian):Coding and plotting and...
I conduct all my analyses using R or Python. Lately, I've also been getting into Rust, thanks to its promises of performance and safety as well as modern tooling and syntax. So far, it's lived up to the expectations, though the syntax can get a bit cumbersome.Here's what I rely on in my day-to-day work: