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David Ruppert is the Andrew Schultz, Jr. Professor of Statistics at Cornell University, with a dual role as a professor in the Department of Engineering. He specializes in functional data analysis, nonparametric regression, and statistical machine learning, contributing significantly to the understanding of measurement error and Bayesian statistics. His research also includes regression discontinuity designs and applications in biostatistics, epidemiology, and astrostatistics. Ruppert is noted for his commitment to teaching and mentorship, guiding numerous PhD students and leading short courses in MATLAB functions. With a strong emphasis on applying statistical methodologies to real-world problems, his work has been widely cited and influential in the field.
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