Yuki Shiraito is a Ph.D. candidate in the field of quantitative methodology and political economy. His interest centers on the development and application of parametric and nonparametric Bayesian methods. He is currently working on the development of a joint text-citation model of legal rulings and a topic model of legislative bills containing texts copied from other bills, in order to elucidate the diffusion of precedents and policy ideas in different settings. His other work uses a Bayesian IRT model to measure support for Taliban in Afghanistan. He has co-taught the Politics Math Camp twice and has served as a preceptor for two graduate courses, Quantitative Analysis III and Formal Political Analysis I, as well as undergraduate courses.