There are currently nine full-time faculty members in the Department of Statistics. The goal of our Ph.D. program is to train statistical researchers to be leaders in the development of statistical methodology and statistical theory, and to be active participants in interdisciplinary collaborations.
Below is a partial list of research areas in which our faculty participate.
- Bayesian Statistics
- Statistical Computing
- Statistics Education
- Time Series
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.
STACEY HANCOCK, Lecturer (Ph.D, Colorado State University) – Research interests: Teaching and learning of statistics, curriculum development, detecting structural breaks in time series data, applications of statistics to ecology.
WESLEY JOHNSON, Professor (Ph.D., University of Minnesota) – Research interests: Bayesian parametric, nonparametric and semiparametric methods and inference for survival analysis, longitudinal and spatial data and for diagnostic outcome data and protocols. Asymptotics for Bayesian inference. Development of informative and partially informative prior distributions. Primary area of interdisciplinary work is veterinary and human epidemiology.
VINH NGUYEN, Assistant Professor in Residence (Ph.D, University of California, Irvine) – Research interests: Robust statistical methods, survival analysis, sequential testing, issues in clinical trials, and prediction. Primary area of interdisciplinary work is in the health sciences with an emphasis on Alzheimer’s Disease.
HERNANDO OMBAO, Associate Professor (Ph.D., University of Michigan) – Research interests: Spatio-temporal models, time series theory and methods, signal and image processing, functional data analysis, collaborative research in neuroscience, psychiatry, cardiology, cognitive science and finance.
BABAK SHAHBABA, Assistant Professor (Ph.D., University of Toronto) – Research interests: Bayesian inference, Bayesian nonparametric modeling, biostatistics, computational methods, Markov chain Monte Carlo algorithms, applied statistics.
HAL STERN, Professor and Dean (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.
JESSICA UTTS, Professor and Chair (Ph.D., Pennsylvania State University) – Research interests: Statistics education; Interdisciplinary statistical applications, most notably in the use of statistics in parapsychology.
YAMING YU, Associate Professor (Ph.D, Harvard University) – Research interests: Statistical computing, Bayesian analysis, applied probability, 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.