My main research areas are firmly within the realm of Bayesian statistics and Markov chain Monte Carlo methods. I’m generally interested in dynamic models as well as MCMC and other computing methods for dynamic models. I also have an interest in constructing priors for covariance matrices, though this is partially motivated by my interest in dynamic models. Finally, I’m also interested in applications of Bayesian statistics to time series problems and causal inference, particularly in economics, and applications to experimental economics.


Posters and Presentations