I am a Lecturer Above the Bar in Statistical Science in the School of Mathematical and Statistical Sciences in the University of Galway.I am an applied statistician; my mainresearch interests concern the estimation of causal effects using observational and experimental data.My primary application areas are biostatisticsmedical statistics, especially in the areas of neonatal, paediatric, cardiovascular, and environmental health.I have extensive experience of collaborating with colleagues on clinical and epidemiological studies to investigate important real-life questions related to human health.I also have research interests in the intersection between infectious disease modelling and causal inference.

My main research interests are in statistical methods for the analysis of observational data. I am especially interested in statistical causal inference methods to address real-life questions about causes and effects. Some examples of causal questions I have addressed in previous research studies: - does maternal alcohol consumption during pregnancy affect childrens cognitive outcomes? - does exposure to a pollutant (perfluourooctanoic acid) in drinking water affect cholesterol levels?- in preterm infants, does the type of feeding cause necrotising enterocolitis?- is the association between maternal depression and childrens behaviour explained by pregnancy or post-pregnancy exposure?The analysis of observational data brings many challenges. There are almost always missing, poorly measured and unmeasured data. Selection of study participants can lead to biased effect estimates. Selection may also limit the generalisability of findings. Dealing with these challenges requires understanding via collaboration with experts in the specific subject area.

I have a strong interest in active learning for third-level statistics, and completed an M.Ed in University Learning and Teaching while working in the Department of Mathematics at Imperial College London (2018).