I am interested in the way we analyse data given by people. I spent my PhD considering heterogeneity and measurement challenges at the University of Adelaide Psychology department under the supervision of Andrew Perfors and Danielle Navarro. Following this, I completed a postdoc at Columbia University considering survey statistics. In particular I worked on weights and methodology questions for the Fragile Families project, the Early Childhood Poverty Tracker and the Poverty Tracker. I also spent considerable time considering alternatives to survey weighting, in particular multilevel regression and poststratification. Now I am a lecturer at Monash University in Business Analytics where I consider to explore how multilevel models and other regularized regression techniques can be used to generalize to new samples and new data. I am particularly interested in Bayesian methods, specifically the use of priors to induce regularization. 

My research interests broadly focus on the use of statistical techniques to draw insights from data that is given from people. Data from people has several broad issues of measurement, non response, and heterogeneity, and so my research is focussed on understanding these issues. I also work with others to develop surveys and experiments to understand aspects of human behaviour and experience. Almost always I work within a Bayesian framework, and I am interested in the way priors impact the generalizations we make with our data. I run a weekly reading group on Multilevel Regression and Poststratification, where we meet virtually to discuss many of the challenges that we face in this sort of research. 

I am interested in supervising projects in Bayesian statistics, survey statistics and psychological experimental design methods.