I am a Senior Lecturer in Epidemiology and HRB Emerging Investigator at UCC. I hold a BSc degree in Public Health (1st class honours, graduating top of my class) and HRB Structured Population and Health-services Research Education (SPHeRE) PhD in Epidemiology from UCC. Over the last decade, I have been involved in teaching and assessment in Epidemiology and Public Health at undergraduate level (MB BCh BAO Medicine, BSc Public Health, and BSc Medical and Health Sciences degrees) and postgraduate level (Master of Public Health [MPH]). In my research leadership role at UCC, I lead, mentor, and manage a team of postdoctoral researchers and PhD students. I lead the Epidemiology Methods Cluster and the Life Course Epidemiology and Prevention (LEAP) Groups at UCC, among others. I was recently elected as European Regional Councillor for the International Epidemiological Association which was won by popular vote amongst all Association members in 2020 and I was also elected to UCC Academic Council in 2020. Since 2015, I have received more than €1.8 million in funding as Principal Investigator (PI). I am currently PI of a HRB Emerging Investigator Award (€699,252), a prestigious personal career development award. Prior to this award, I held an MRC UK Strategic Skills Fellowship in Population Health (£442, 976) at the University of Bristol. I am also co-PI of a HRB Secondary Data Analysis Project (€250,000) and, in July 2022, I was awarded a HRB Investigator Led Project (€357,507.50) as PI.

My research interests focus particularly on the application of life course and causal inference methodology to understanding the causes of ill-health across the life course. My research to date has focused predominantly on perinatal epidemiology and cardiovascular risk across the life course and both my MRC Fellowship at the University of Bristol and current EIA at UCC have a particular focus on understanding sex differences in the aetiology of cardiometabolic risk using life course and causal inference approaches. I am particularly interested in the application of methods for causal inference to observational data to answer questions of causality across the life course and across conditions.

Module co-ordinator: EH6031 Applied Epidemiology, 10 credit MPH module Lecturer: EH2010 Epidemiology II, 5 credit BSc Medical and Health Sciences module