I am a Research Associate in Statistics in the Department of Mathematics at Imperial College London, working with Professor Nick Heard.
I am broadly interested in statistical analysis of dynamic networks, latent feature models, recommender systems, and Bayesian nonparametrics. My research has been mainly applied to statistical cyber-security problems, but also to social networks, music streaming services, and bike sharing systems.
My current research is on host-based event prediction for automatic defence in cyber-security, funded by a Microsoft Security AI research grant, in collaboration with Microsoft Threat Protection (Redmond, WA).
For further details, see my personal webpage.
Sanna Passino F, Heard N, 2020, Bayesian estimation of the latent dimension and communities in stochastic blockmodels, Statistics and Computing, Vol:30, ISSN:0960-3174, Pages:1291-1307
Sanna Passino F, Heard NA, 2020, Classification of periodic arrivals in event time data for filtering computer network traffic, Statistics and Computing, Vol:30, ISSN:0960-3174, Pages:1241-1254
Sanna Passino F, Heard NA, 2019, Modelling dynamic network evolution as a Pitman-Yor process, Foundations of Data Science, Vol:1, ISSN:2639-8001, Pages:293-306