Current PhD students
| 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 Bayesian combinatorial optimization techniques with application to facility location problems. |
| 2020 - 2024 | Iuliia Promskaia – co-supervision with Dr. Adrian O’Hagan Model-based clustering methods for networks with edge weights and node features. |
| 2020 - 2024 | Matt Nagle – co-supervision with Assoc. Prof. Aisling Ní Annaidh Improving reconstructive surgery: Machine learning approaches for biomechanical skin assessment. |
| 2020 - 2024 | Thais Pacheco – co-supervision with Prof. Brendan Murphy Record linkage approaches for matching databases with nested records. |
| 2020 - 2024 | Ganesh Babu – co-supervision with Prof. Claire Gormley Model-based clustering and classification methods for high-dimensional data with spatial and temporal dependence. |
| 2025 | Noemi Corsini – visiting from University of Padova, co-supervision with Assoc. Prof. Giovanna Menardi Advances in density-based clustering for complex data. |
Former PhD students
| 2024 | Xian-Yao Gwee – co-supervision with Prof. Claire Gormley Bayesian nonparametric models for network data. |