HAL STERN, Professor and Chair (Ph.D, Stanford) - Research interests: Statistical inference using Bayesian methods and model diagnostics. Primary area of interdisciplinary work is applications in the biological and social sciences.WESLEY JOHNSON, Professor (Ph.D., University of Minnesota) – Research interests: Bayesian and predictive interest, Bayesian nonparametric modeling, survival analysis, diagnostic screening test methodology and protocols, asymptotic theory of generalized linear mixed models. Primary area of interdisciplinary work is veterinary epidemiology.
DAVID VAN DYK, Professor (Ph.D., University of Chicago) – Research interests: Methodological and computational issues involved with Bayesian analysis of highly structured statistical models. van Dyk is particularly interested in improving the efficiency of computationally intensive methods involving data augmentation, such as EM-type algorithms and Markov chain Monte Carlo methods. Primary areas of interdisciplinary work are Astro-statistics and the social sciences.
DANIEL GILLEN, Assistant Professor (Ph.D, University of Washington) - Research interests: Biostatistics, survival analysis methodology for modeling censored time to event data, group sequential testing, and the design and analysis of clinical trials. Primary area of interdisciplinary work is in clinical research with an emphasis in renal disease and cancer.
GANG LIANG, Assistant Professor (Ph.D, University of California, Berkeley) - Research interests: Pseudo likelihood approach to inference, graphical models, machine learning, theoretical analysis of I-divergence and regularization. P rimary area of interdisciplinary work is in statistical analysis computer and sensor networks (tomography, optimization).
YAMING YU, Assistant Professor (Ph.D, Harvard University) - Research interests: Statistical computing, applications of statistics to astronomy.
