Imperial College London

Dr Francesco Sanna Passino

Faculty of Natural SciencesDepartment of Mathematics

Lecturer in Statistics



f.sannapassino Website




552Huxley BuildingSouth Kensington Campus





I am a Lecturer in Statistics in the Department of Mathematics at Imperial College London. My main research interests are broadly based on statistical analysis of dynamic networks. 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.

For further details, see my personal webpage.

Selected Publications

Journal Articles

Sanna Passino F, Heard NA, 2023, Mutually exciting point process graphs for modelling dynamic networks, Journal of Computational and Graphical Statistics, Vol:32, ISSN:1061-8600, Pages:116-130

Sanna Passino F, Heard N, 2022, Latent structure blockmodels for Bayesian spectral graph clustering, Statistics and Computing, Vol:32, ISSN:0960-3174

Sanna Passino F, Heard NA, Rubin-Delanchy P, 2021, Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel, Technometrics, Vol:64, ISSN:0040-1706, Pages:346-357

Sanna Passino F, Turcotte MJM, Heard NA, 2021, Graph link prediction in computer networks using Poisson matrix factorisation, Annals of Applied Statistics, Vol:16, ISSN:1932-6157, Pages:1313-1332

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, Maystre L, Moor D, et al., 2021, Where To Next? A Dynamic Model of User Preferences, WWW '21: The Web Conference 2021, ACM

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