Robert Stine is Professor of Statistics in The Wharton School of the University of Pennsylvania. His research spans a variety of areas with practical applications, ranging from forecasting to spatial models to fundamentals of multiple testing and model selection. Recent projects consider methods for selecting factors for predictive models from large databases, with particular relevance to the selection of factors that produce cost-effective decisions. These methods are crucial in the development of predictive models in data mining. His research has appeared in numerous academic journals, including the Journal of the American Statistical Association, Journal of the Royal Statistical Society, and the Annals of Statistics. His teaching has been recognized by major awards in both the Wharton MBA and undergraduate programs, and he is the co-author of a recent textbook Business Statistics: Decision Making and Analysis.