I am an Applied Econometrician, an Associate Professor of Economics at the University of Oxford, a Tutor and Fellow in Economics at Lady Margaret Hall, and a visiting researcher at the Federal Reserve Bank of Chicago. My research uses data to answer economic and public policy questions and develops statistical methods for untangling cause-and-effect. On the methodological side, my interests include causal inference, instrumental variables, measurement error, spillovers, and Bayesian inference. On the applied side, my current work includes a project using machine learning to predict the prevalence of lead poisoning in young children, an experimental study of pawnbroking in Mexico City, and a study that uses economic modeling to explain patterns of paramilitary violence in Colombia in during the 1990s and early 2000s. I blog about econometrics, statistics, and R programming at econometrics.blog.