Before joining IU, he was a postdoctoral researcher at the University of Florida and received his doctorate from Washington University in St. Louis. Andrew's research focuses on "objective" Bayesian methodologies in complex problems and considerations of model space uncertainty in inference. This includes the development of model space priors for low dimensional representations of high dimensional objects and the efficient computation thereof.