
About
Paul Roback is a Professor in the Department of Mathematics, Statistics, and Computer Science at St. Olaf College, where he holds the Kenneth O. Bjork Distinguished Professorship in Statistics and Data Science. He is actively engaged in teaching and research, with a focus on applied statistical methods and interdisciplinary collaboration.
- University: St. Olaf College
- Department: Department of Mathematics, Statistics, and Computer Science
- Academic Rank: Professor
- Email: roback@stolaf.edu
Roback specializes in statistics and data science, with research interests in multilevel modeling, generalized linear models, Bayesian methods, and text analysis. His teaching emphasizes hands-on learning with real-world data, particularly in courses like Advanced Statistical Modeling. He co-authored the widely used open-access textbook Beyond Multiple Linear Regression, which integrates modern statistical techniques with R programming.
His recent publications center on applied statistical modeling, showcasing trends in generalized linear models, multilevel modeling, and likelihood-based inference. These works reflect a strong emphasis on educational accessibility and practical application in undergraduate statistics education.
Scientific awards and honors include:
- Fellow of the American Statistical Association
- Kenneth O. Bjork Distinguished Professor of Statistics and Data Science
Roback has supervised numerous student research projects and is a founding member of the Center for Interdisciplinary Research at St. Olaf. He has served as past Chair of the ASA Section on Statistical and Data Science Education and has worked as a statistical consultant in pharmaceutical, healthcare, and food processing industries. His research collaborations span diverse fields such as clinical trials, social policy, and ecology.
He is affiliated with the Center for Interdisciplinary Research, where students and faculty collaborate on data-driven projects across disciplines, fostering a strong culture of applied, collaborative scholarship.
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