Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
- Research Associate
- Epidemiology & Public Health
- Institute of Epidemiology & Health
- Faculty of Pop Health Sciences
My primary research interest is in the public health impact of alcohol consumption – particularly from a life course perspective. I currently work on a European Research Council funded project led by Dr Annie Britton examining the determinants of changes in drinking and consequences of particular longitudinal patterns of alcohol intake in relation to multiple health outcomes in several prospective cohort studies. Specific outcomes of interest include cardiovascular diseases (coronary heart, cerebrovascular, peripheral arterial and aortic diseases, as well as heart failure and arrhythmias), type II diabetes mellitus, alcohol-related cancers and mental health. I am also interested in social inequalities in health.
I have a general interest in the modelling of longitudinal data, particularly the application of methods that account for changes in dynamics over time (including structural equation/growth mixture models and joint models for longitudinal and time-to-event data) and causal inference methodology to attempt to emulate randomised experiments from observational data (for example, propensity scores, inverse probability weighting of marginal structural models, the parametric g-formula, g-estimation of nested structural models and Mendelian randomization).
I co-lead the Advanced Statistics module for the MSc in Social Epidemiology: Society and Health at UCL (starting in the 2014/15 academic year).
I assist in practical sessions for Epidemiology, Basic and Advanced Statistics, Regression Modelling and Longitudinal Data Analysis modules (MSc and PhD level – across UCL). I also lecture on the Research Methods module of the MSc in Social Epidemiology and the Regression Modelling graduate school course.
I currently co-supervise three full-time PhD students and have supervised student projects for the MSc in Social Epidemiology at UCL in the past, as well as co-supervised visiting PhD students.