My bachelor's degree was in Mathematics from the University of Washington, Seattle in 1972, I received a Master's Degree in Statistics from the California State University as Hayward in 1974, and a Ph.D. in Statistics with a minor in Mathematics from the University of Minnesota, Minneapolis in 1979. I joined the Department of Statistics at UC Davis in 1979 and was chair of the graduate group in Epidemiology at UCD from 1997 to 2002. I joined the Department of Statistics at UC Irvine in 2005. My research interests are eclectic. I am mainly interested in developing Bayesian statistical methods for biostatistical and epidemiologic applications. I am currently involved with collaborative efforts to develop Bayesian nonparametric and semi-parametric methods in survival analysis, longitudinal analysis and joint modeling of survival and longitudinal data. I also work on diagnostic screening protocols and methodology when no gold standard test is available. This includes ROC curve estimation, development of models and methods for longitudinal screening data including change-point models that account for disease occurrence during the study, and general methods for combining information to improve diagnosis. I have also been involved with the development of risk analysis models, sample size determinations in the context of risk assessment and models, longitudinal and spatial methods for predicting global foot and mouth disease, and for the analysis of hormone profile data. I also have a general interest and expertise in the areas of regression diagnostics, prediction, multivariate analysis, models for correlated binary data, asymptotics and Markov chain Monte Carlo methods. I am a fellow of IMS, ASA and RSS.� My curriculum vitae gives more details. At UCI, I have taught courses on longitudinal data analysis (STA 212), undergraduate probability (STA 120A), masters level probability and statistical theory (STA 200ABC), Multivariate Analysis (STA 240), Introductory Bayesian Ideas and Data Analysis (STA205), Bayesian Theory, Methods and Data analsysis (STA 225), Bayesian Nonparametrics (STA 226) and Ph.D. level Probability and Mathematical Statistics (220AB). I have written a Bayesian book with my friends Adam Branscum, Ron Christensen and Tim Hanson. The book is intended for a broad audience of graduate students in all areas of science, including Statistics. You can find information about the book at http://www.ics.uci.edu/~wjohnson/BIDA/BIDABook.html.