Members
Prof. Niamh Cahill
Dr. Galatia Cleanthous
Dr. Rafael de Andrade Moral
Dr. Katarina Domijan
Prof. Catherine Hurley
Prof. David Malone
Dr. Fernando Mayer - Postdoc
Dr. Keefe Murphy
Dr. Niamh Mimnagh - Postdoc
Dr. Szymon Urbas
Research Topics
Research topics of interest to this group include: Statistical Modelling in Environmental and Ecological Science, Bayesian Methods of Statistical Inference, Machine Learning for Complex High Dimensional Data, and Statistical Computing and Graphics.
Postgraduate Researchers
Current
Researcher | Supervisor(s) | Research Topic |
---|---|---|
Oluwayomi Akinfenwa | (PhD) | |
Marina Antoniadou | (PhD) | |
Enola Barvaeva | (PhD) | |
Anthony Thomas Gibbons | (PhD) | |
Yong Chen Goh | Prof. Andrew Parnell Dr Keefe Murphy |
(PhD) |
Darragh Holman | (PhD) | |
Kevin Horan | (PhD) | |
Rachel Mc Inerney | (PhD) | |
Andre Felipe Berdusco Menezes | (PhD) | |
Shauna Mooney | (PhD) | |
Victor Hugo Nagahama | (PhD) | |
Gabriel Rodrigues Palma | (PhD) |
Graduated
Researcher | Supervisor(s) | Research Topic |
---|---|---|
Dr. Mateus Maia | Prof. Andrew Parnell Dr Keefe Murphy |
Smoothness and covariance structure modelling in Bayesian machine learning models (PhD) (2025) |
Dr. Blake McGrane-Corrigan | Prof. Oliver Mason Dr. Rafael de Andrade Moral |
Coupled Models of Structured Ecological Systems: Patch Dynamics, Population Demography and Stochastic Interactions (PhD) (2025) |
Amit Chinwan | Prof. Catherine Hurley | Visualising Bivariate Patterns using Association Measures (MSc) (2024) |
Dr. Alessandra Dos Santos | Prof. Andrew Parnell Dr. Rafael de Andrade Moral |
Latent tensor Bayesian Models for Estimating Complex Interactions in Plant Variety Testing (PhD) (2024) |
Dr. Darshana Jayakumari | Dr. Rafael de Andrade Moral | Topics in Model Evaluation and Comparison (PhD) (2024) |
Dr. Maeve Upton | Prof. Andrew Parnell Prof. Niamh Cahill |
Bayesian generalised additive models for quantifying sea-level change: Methods and Software (PhD) (2024) |
Dr. Bruna Wundervald | Prof. Andrew Parnell Co-supervised by: Dr Katarina Domijan |
Feature selection and hierarchical modelling in tree-based machine learning models (PhD) (2024) |
Dr. Hannah Comiskey | Prof. Niamh Cahill |
Estimating modern contraceptive supply shares at national and subnational administration levels using Demographic and Health Survey data, with an application to the calculation of estimated modern contraceptive use. (PhD) (2023) |
Dr. Niamh Mimnagh | Dr. Rafael de Andrade Moral |
Novel Developments in Bayesian Modelling Applied to Estimating Abundance in Animal Communities. (PhD) (2023) |
Elizabeth O'Dwyer | Dr. Katarina Domijan Prof. Caitriona Jackman (DIAS) |
Machine Learning for the Automatic Classification of Radio Spectra (MSc) (2023) |
Bharvi Dhall | Dr. Katarina Domijan Prof. Catherine Hurley |
Exploring the Work Values of Irish Youth: A follow up study of Growing Up in Ireland child cohort. (MSc) (2022) |
Dr. Alan Inglis | Prof. Andrew Parnell Co-supervised by: Prof. Catherine Hurley |
Visualisation techniques for interpreting machine learning models (PhD) (2022) |
Dr. Estevao Prado | Prof. Andrew Parnell Co-supervised by: Dr. Rafael de Andrade Moral |
Extensions to Bayesian tree-based machine learning algorithms (PhD) (2022) |
Dr. Jack McDonnell | Dr. Caroline Brophy Co-supervised by: Dr Deirdre Hennessy, Teagasc Dr Laurence Shalloo Teagasc |
Predicting grass growth at farm level to allow producers to adapt to changing and volatile weather conditions (PhD)(2018) |
Dr. Áine Dooley | Dr. Caroline Brophy | Modelling techniques for biodiversity and ecosystem multifunctionality - theoretical development and application. (PhD)(2018) |
Dr. Mark O'Connell | Dr. Katarina Domijan & Prof. Catherine Hurley | Conditional Visualisation for Statistical Models.(PhD)(2017) |
Dr. Denise Earle | Prof. Catherine Hurley | Combinatorial methods for Data Visualization. (PhD) (2011) |