People


2023	Noemi Corsini – visiting from University of Padova, co-supervision with Assoc. Prof. Giovanna Menardi Stochastic block models for biographical networks.
2022 - 2026	Brian Hassett – co-supervision with Dr. Riccardo Rastelli Latent position models for time-dependent multidimensional network data.
2021 - 2025	CJ Clarke Latent variable models for collections of networks.
2021 - 2025	Niyati Seth Optimization techniques for facility location problems for design of renewable energy communities.
2020 - 2024	Iuliia Promskaia – co-supervision with Dr. Adrian O’Hagan Advances in latent variable models for multivariate and multidimensional networks.
2020 - 2024	Matt Nagle – co-supervision with Assoc. Prof. Aisling Ní Annaidh Statistical and machine learning methods for tissue biomechanics data analysis.
2020 - 2024	Thais Pacheco – co-supervision with Prof. Brendan Murphy Record linkage of historical census data.
2020 - 2024	Ganesh Babu – co-supervision with Prof. Claire Gormley Model-based clustering and classification methods for hyperspectral images.
2019 - 2023	Xian-Yao Gwee – co-supervision with Prof. Claire Gormley Bayesian nonparametric models for network data.


2022	Marco Vitelli – MSc in Statistics, University of Bologna, co-supervision with Prof. Gabriele Soffritti Statistical methods for multivariate regression and cluster analysis with sparse covariance and regression coefficient matrices.
2021	Federica Benassi – MSc in Statistics, University of Bologna, co-supervision with Prof. Giuliano Galimberti Model-based clustering and dependence modeling for mixed data.