Daniel E. Bontempo Ph.D.

Daniel E. Bontempo Ph.D.

Dr. Bontempo has a BA in computer science from Loyola University in New Orleans, and both a MAS in applied statistics as well as a quantitative PhD in Human Development from the Pennsylvania State University. Over his career as a research scientists and statistical consultant, Dr. Bontempo has delivered advanced multilevel/multivariate modeling solutions for complex longitudinal datasets at the Penn State Prevention Science Research Center, The Oregon State Center for Healthy Aging, the Kansas University Institute for Lifespan Studies, and the Texas Tech Institute for Measurement, Methodology, Analysis, and Policy.

Robust readable codes have always been at the center of Dr. Bontempo’s statistical practice. From teaching computer programming in the 1980s, to scripting complex data management and analyses in commercial packages such as SAS, Stata, and SPSS, to more recent use of Tidyverse R-programming methods, Dr. Bontempo maintained a focus on clean, readable, robust codes and scripts in the service of reproducible research and the implementation of both programming and research project best practices.

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