Professor, Department of Statistics
Contact Information
Campus: Fairfax
Building: Nguyen Engineering Building
Room 1710
Mail Stop: 4A7
Email: John Stufken聽
Personal Websites
In the News
Biography
John Stufken鈥檚 research interests are in the design and analysis of experiments and in extracting information from data, small or large. His interests have also increasingly moved in the direction of data science. He has continuously published in top professional journals with grant support from the National Science Foundation. He enjoys teaching statistics and data analytics, both for students from statistics and students from other disciplines. He has been recognized for both research and teaching excellence.
Stufken鈥檚 research interests are broad and range from applications to theory. He is best known for his work on orthogonal arrays (including the book 鈥淥rthogonal Arrays: Theory and Applications鈥 with A.S. Hedayat and N.J.A. Sloane), crossover designs, optimal design of experiments, and sub-data selection methods. He was also co-editor of the book 鈥淗andbook of Design and Analysis of Experiments鈥, with A.M. Dean, M.D. Morris, and D. Bingham.
Before joining 亚洲AV, Stufken served, among others, as Director of Informatics and Analytics and Bank of America Excellence Professor at UNC Greensboro (2019-2022), Charles Wexler Endowed Professor of Statistics at Arizona State University (2014-2019), Head of the Department of Statistics at the University of Georgia (2003-2014), and Program Director for Statistics at the National Science Foundation (2000-2003). He is an Elected Fellow of both the American Statistical Association and the Institute of Mathematical Statistics, an Elected Member of the International Statistical Institute, and served in 2011 as the Rothschild Distinguished Visiting Fellow at the Isaac Newton Institute for Mathematical Sciences in Cambridge, UK.
Degrees
- PhD, Mathematics, University of Illinois at Chicago
- Doctoraal, Mathematics, Universiteit Nijmegen聽
- Kandidaats, Mathematics, Universiteit Nijmegen聽