Francesco Sanna Passino

Francesco Sanna Passino

Associate Professor in Statistics at Imperial College London

Home

I am an Associate Professor in Statistics in the Department of Mathematics at Imperial College London.

My main research interests are broadly based on statistical analysis of dynamic networks, mostly from a Bayesian perspective. In my work, I enjoy exploring an array of different statistical techniques, adapted and extended to dynamic network modelling, such as latent variable models and model-based clustering. In recent years, I have also developed an interest for statistical analysis of event-time data, and latent factor models, including topic modelling. My research has been mainly applied to statistical cyber-security problems, but also to social networks, music streaming services, and bike sharing systems.

I also have a personal webpage on the Imperial College website.

NetStat Workshop 2025 – I am co-organiser of the workshop "Statistics and Machine Learning for Networks and High-Dimensional Data", to be held at Imperial College London on 16–17 December 2025. The event is jointly organised with Patrick Rubin-Delanchy (University of Edinburgh) and Nick Heard (Imperial College London).
ASA SBSS Student Paper Competition – The ASA Section on Bayesian Statistical Science (SBSS) is pleased to announce a student paper competition for research in Bayesian methodology, covering a broad spectrum of applied, computational, or theoretical work. Winners of the competition will receive partial support to attend the 2026 Joint Statistical Meetings (JSM) in Boston, MA (August 1-6, 2026). Details about the student paper competition, eligibility and submission requirements can be found at this link. The deadline for submission is November 15, 2025 by 5pm ET (Eastern Time).