Research areas
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.

JESSICA UTTS, Professor (Ph.D., Pennsylvania State University) - Reseach interests: Applied statistics, and has published most extensively on the use of statistics in parapsychology.

DANIEL GILLEN, Associate 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.

BABAK SHAHBABA, Assistant Professor (Ph.D., University of Toronto) - Research interests: Iincorporating appropriate priors into statistical models in order to improve their performance, developing new nonlinear models that are sufficiently flexible and provide interpretable results

YAMING YU, Assistant Professor (Ph.D, Harvard University) - Research interests: Statistical computing, applications of statistics to astronomy.

ZHAOXIA YU, Assistant Professor (Ph.D, Rice University) - Research interests: Genome-wide association analysis, haplotype-based analysis, gene-gene and gene-environment interactions, gene regulatory network,  genetic pathway