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I am an Assistant 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).
Webinar on "Statistical methods in cybersecurity" – I am the organiser of an RSS webinar on "Statistical methods in cybersecurity", held online on 29 September 2025. The event is jointly supported by the Business and Industrial Statistics Section (BIS) and Emerging Applications Section (EAS) of the Royal Statistical Society.