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)