Meet Our PhD Researchers

Our researchers are advancing knowledge across a wide range of disciplines.
Use the links below to explore our current and past PhD cohorts.

Image for Current Researchers

PhD Researchers (past)

Class of 2025
NameTitle
Roanne Lecky The Diabetic Lung: Impact of Diabetes and Obesity on Lung Health (IDOL)
Class of 2024
NameTitle
Sophie Coyle Targeting the NLRP3 inflammasome as a therapy for glaucoma
Matthew Ennis Identifying multimorbidity patterns in type 2 diabetes and genes associated with comorbidity trajectories leading to chronic kidney disease
Ruairidh Harrigan Developing novel synergistic drug combinations with venetoclax in acute myeloid leukaemia
Rachel Hiemstra-Creighton Enjoyable group-based physical activity programmes for older adults
Evangeline Johnston Identification of novel synergistic drug combinations with statins in paediatric AML
Class of 2023
NameTitle
Ciara Devlin Off Target Benefits of GLP-1 Agonist Therapy in Type 2 Diabetes
Guangran Guo Multi-omic approach identifies GDF15 as cardiac cell senescence marker that also differentiates Permanent Atrial Fibrillation from Paroxysmal Atrial Fibrillation
Sean McCallion Biomarkers associated with AKI and CKD and their progression
Gavin McCluskey Validation of Circulating Extracellular Vesicle Diagnostic and Prognostic Biomarker Candidates for Amyotrophic Lateral Sclerosis
Bodhayan Prasad Development of machine learning based computational tools for stratified healthcare and personalised medicine
Caoimhe Ward Investigating demographic, psychosocial and epigenetic risk factors for depression in young adults
Class of 2022
NameTitle
Owen Connolly Skeletal muscle vesicles as a source of circulating biomarkers in Amyotrophic Lateral Sclerosis
Vanessa Milla Identification of Biomarkers to Identify ALS subjects among patients affected by Motor Neuron Disorders
Christina Vasilopoulou A software pipeline for the analysis of genomic data, and functional genomic approaches to explore the molecular mechanisms of Amyotrophic Lateral Sclerosis
Angelina Villikudathil Computational approaches in biomarker discovery for treatment response and comorbidity in type-2 diabetes