David Ruppert

David Ruppert is the Andrew Schultz Jr. Professor of Engineering in the School of Operations Research and Information Engineering, and professor of statistics and data science at Cornell University. He received a B.A. in mathematics from Cornell in 1970, an M.A. in mathematics from the University of Vermont in 1973, and a Ph.D. in statistics and probability from Michigan State University in 1977. He was assistant and then associate professor of statistics at the University of North Carolina, Chapel Hill, from 1977 to 1987. He is a Fellow of the ASA and IMS, and received the Wilcoxon Prize in 1986. Ruppert was named a "highly cited" researcher by ISIHighlyCited.com and was ranked 21st in mathematics by journal citations. 

He has served as editor of the IMS Lecture Notes and Monographs Series, Electronic Journal of Statistics, and Journal of the American Statistical Association: Theory and Methods. Ruppert has had 34 Ph.D. students, many of whom are now leading researchers. He has worked on stochastic approximation, transformations and weighting in regression, and nonparametric regression. 

His current research focuses on astrostatistics, measurement error models, splines, semiparametric regression, regression discontinuity designs, deconvolution, biostatistics, and environmental statistics. He has published more than 160 articles in refereed journals and has published six books: Transformation and Weighting in Regression, Measurement Error in Nonlinear Models (first and second editions), Semiparametric Regression, Statistics and Finance: An Introduction, and Statistics and Data Analysis for Financial Engineering (first and second editions), Semiparametric Regression with R.