Much of my research lies at the intersection of methodological statistics, machine learning, and applied statistics. Data-related problems sparking my curiosity are constant sources of fresh ideas for my research. I am particularly passionate about scientific problems and working in collaborative and interdisciplinary projects where data-driven research demands the development of novel data analysis methods. I am always open to explore new fields and initiate new collaborations.
More specifically, my research interests center on latent variable models in application to high-dimensional and complex data. Within this area, my work primarily focuses on model-based clustering and classification, statistical network analysis, variable selection, and dimension reduction.
Some of my current projects involve collaboration networks, clustering objects, Bayesian optimization, and analysis of computer experiments.
Current PhD students
Adam Kilroy – co-supervision with Prof. Aisling Ní Annaidh
Statistical and machine learning methods to to predict skin growth.Jincheng Luo – co-supervision with Dr Miriam Casey
Statistical and mechanistic models for the transmission of bovine tubercolosis.Sara Geremia – visiting from Univ. of Trieste, co-supervision with Prof. Domenico de Stefano
Community detection methods for EU-funded research collaboration networks.Brian Hassett – co-supervision with Prof. Riccardo Rastelli
Latent position models for time-dependent multidimensional network data.CJ Clarke
Bayesian latent variable models for collections of networks.Niyati Seth
Advances in Bayesian optimization for combinatorial problems.
Former PhD students
Ganesh Babu – co-supervision with Prof. Claire Gormley
Model-based clustering and classification methods for high-dimensional data with spatial and temporal dependence (2025).Iuliia Promskaia – co-supervision with Prof. Adrian O’Hagan
Model-based clustering methods for networks with edge weights and node features (2025).Matt Nagle – co-supervision with Prof. Aisling Ní Annaidh
Improving reconstructive surgery: Machine learning approaches for biomechanical skin assessment (2025).Thais Pacheco Menezes – co-supervision with Prof. Brendan Murphy
Record linkage approaches for matching databases with nested records (2025).Noemi Corsini – visiting from University of Padova, co-supervision with Prof. Giovanna Menardi
Advances in density-based clustering for complex data (2025).Xian-Yao Gwee – co-supervision with Prof. Claire Gormley
Bayesian nonparametric models for network data (2024).