David Ruppert

Biography

David Ruppert is Andrew Schulz Jr. Professor of Engineering, School of Operations Research and Information Engineering, and Professor of Statistics and Data Science, Cornell University. He received a BA in Mathematics from Cornell University in 1970, an MA in Mathematics from the University of Vermont in 1973, and a PhD 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. Professor Ruppert was named "Highly cited" researcher by ISIHighlyCited.com and was ranked 21st in mathematics by journal citations. He has had  34 PhD students, many of them now leading researchers. Professor Ruppert has worked on stochastic approximation, transformations and weighting in regression, and smoothing. His current research focuses on astrostatistics, neuroscience, measurement error models, splines, functional data analysis, semiparametric regression, causal inference, and environmental statistics. He has published over 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, Statistics and Data Analysis for Financial Engineering (first and second edition), Semiparametric Regression with R.

Research Interests

Professor Ruppert's current research is on calibration and uncertainty analysis, semiparametric regression, splines in statistics, functional data analysis, astrostatistics, biostatistics, fMRI and ICA. He has had continuous external research funding since 1978 with grants from NSF, NIH, and EPA. He has published over 125 research papers.

• Data Mining
• Complex Systems, Network Science and Computation
• Health Systems
• Financial Engineering
• Statistics and Machine Learning