My main research areas are firmly within the realm of Bayesian statistics and Markov chain Monte Carlo methods. I’m generally interested in models for dependent data, especially time series, spatial, and spatial temporal models, as well as MCMC and other computing methods for these models. I also have an interest in constructing priors for covariance matrices, partially motivated by the sorts of models I’m interested in. Finally, I’m also interested in applications of Bayesian statistics to causal inference, particularly in economics.


Posters and Presentations