My current research falls broadly under the emerging area of sociogenomics. I am currently focussing on i) how within-family based genetic studies can be used to improve understanding of the formation of health and social outcomes, ii) the use of genetic data for predicting individual and group level differences, and iii) how results from genetic studies may be biased by underlying social processes.

I am principally interested in social inequalities in health and education; how these are formed and transmitted across generations, the impact that they have on society and individuals, and how they can be identified and reduced. My work combines longitudinal social data with genome-wide data and makes use of advanced statistical techniques to answer social science research questions in novel ways. I work principally with data from longitudinal birth cohorts and have experience in a range of advanced quantitative methods for analysing complex data structures.

My background is in quantitative social science, having completed an ESRC funded PhD in Advanced Quantitative Methods with the Centre for Multilevel Modelling and the School of Geographical Sciences at the University of Bristol. My PhD investigated the role of unobserved confounding in social science and epidemiological research, exploring how statistical methods applied to repeat measure longitudinal data can be used to account for sources of unobserved confounding between individuals.