About me

Hi, I'm James Scott. I am a statistician and data scientist at the University of Texas at Austin. My research interests are mainly in statistical computation and Bayesian inference. I’ve done recent work on nonparametric empirical-Bayes methods, data-augmentation schemes for Bayesian computation, scalable algorithms, multiple testing and high-dimensional screening problems, prior choice in hierarchical models, and Bayesian methods in machine learning. My recent collaborative projects have involved applications in health care, security, and neuroscience. In the past I’ve also done work in linguistics, political science, finance, infectious disease, astronomy, and molecular biology. See my Papers and Software pages for more detail.

CV, GitHub, Google Scholar


Department of Information, Risk, and Operations Management (McCombs School of Business)
Department of Statistics and Data Sciences (College of Natural Sciences)

Contact information

James G. Scott
Associate Professor of Statistics
2110 Speedway, B6500
Austin, Texas 78712
(512) 471-5905
Office: CBA 6.478


Ph.D in Statistics, Duke University (2009)
M.A.St in Mathematics, University of Cambridge (2005)
B.S in Mathematics, University of Texas (2004)