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2014-03-06T00:00:00.000Z

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Dr. Stephen Lee Sauchi

Associate Professor of Statistics, Department of Statistics, College of Science

University of Idaho

Direct Phone: (208) ***-****       

Email: s***@***.edu

University of Idaho

875 Perimeter Drive

Moscow, Idaho 83844

United States

Company Description

Founded in 1889, the University of Idaho is the state's flagship higher-education institution and its principal graduate education and research university. The Carnegie Foundation ranks the University of Idaho a "research university with high research act... more

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Background Information

Employment History

Associate Editor

ACTA Press

Education

Ph.D.
Statistics
Florida State University

Web References (6 Total References)


Stephen Sauchi Lee ...

www.visitingscholars.org [cached]

Stephen Sauchi Lee ??? Associate Professor of Statistics Department of Statistics College of Science University of Idaho 375 S Line St Moscow, ID 83844-1104 (208) 885-7701 This e-mail address is being protected from spambots.


[Journal] International Journal of Computational Bioscience 2010

actapress.com [cached]

Stephen S. Lee University of Idaho, USA stevel@uidaho.edu


[Journal] International Journal of Computational Bioscience 2010

www.actapress.com [cached]

Stephen S. Lee University of Idaho, USA stevel@uidaho.edu


Ohio Collaborative Conference on Bioinformatics (OCCBIO)

www.occbio.org [cached]

Stephen Sauchi Lee, Associate Professor of Statistics, Affiliated Professor of Bioinformatics and Computational Biology, Department of Statistics, College of Science, University of Idaho

...
Stephen Lee is an Associate Professor of Statistics at the University of Idaho. Dr. Lee received his Ph.D. in Statistics from Florida State University. He joined the Department of Statistics at the University of Idaho in 1993. He is a tenured Associate Professor of Statistics and an affiliated Professor of Bioinformatics and Computational Biology at the University of Idaho. He is a researcher and consultant in the field of Statistics and Bioinformatics. His research projects are motivated by clients from the Bioinformatics and Computational Biology areas. He teaches a wide range of undergraduate and graduate statistics courses. His main research interests are multivariate and computational statistics, and pattern recognition methods from statistics and computer science. His grant-funded work includes development of a graduate Bayesian data analysis course (funded by the Maximum Entropy and Bayes Center at Boise ID), delivery of statistical evidence in an Idaho court (funded by the Idaho Potato Commission), statistical consultation in a contract with Schroeter, Goldmark, & Bender Company, and demonstration of the Enterprise Miner for data mining (SAS). His professional service includes membership on the Editorial Board of the International Journal of Computational Bioscience, and referee for the Journal of American Statistical Association, Annals of Statistics, and Journal of Nonparametric Statistics. His professional memberships include the American Statistical Association, Mathematics Association of America, Biometric Society, Institute of Mathematical Statistics, Royal Statistical Society, International Association for Statistical Computing, and Interface of Computing Science and Statistics. His publications are in the International Journal of Computational Science, Journal of Statistical Computation and Simulation, Journal of Computational Statistics & Data Analysis, Journal of Computational Statistics, Journal of Applied Stochastic Models in Business and Industry, Journal of Applied Artificial Intelligence, Journal of Forest Science, Journal of Vaccine, Journal of Microbiology, Proceedings of the International Conference on Parallel and Distributed Computing and Systems, Proceedings of the International Conference on Communications, Internet and Information Technology, and Proceedings of the IEEE LCN Workshop on Network Security.


Ohio Collaborative Conference on Bioinformatics

www.ohiobioinformaticsconsortium.org [cached]

Stephen Sauchi Lee, Associate Professor of Statistics, Affiliated Professor of Bioinformatics and Computational Biology, Department of Statistics, College of Science, University of Idaho

...
Stephen Lee is an Associate Professor of Statistics at the University of Idaho. Dr. Lee received his Ph.D. in Statistics from Florida State University. He joined the Department of Statistics at the University of Idaho in 1993. He is a tenured Associate Professor of Statistics and an affiliated Professor of Bioinformatics and Computational Biology at the University of Idaho. He is a researcher and consultant in the field of Statistics and Bioinformatics. His research projects are motivated by clients from the Bioinformatics and Computational Biology areas. He teaches a wide range of undergraduate and graduate statistics courses. His main research interests are multivariate and computational statistics, and pattern recognition methods from statistics and computer science. His grant-funded work includes development of a graduate Bayesian data analysis course (funded by the Maximum Entropy and Bayes Center at Boise ID), delivery of statistical evidence in an Idaho court (funded by the Idaho Potato Commission), statistical consultation in a contract with Schroeter, Goldmark, & Bender Company, and demonstration of the Enterprise Miner for data mining (SAS). His professional service includes membership on the Editorial Board of the International Journal of Computational Bioscience, and referee for the Journal of American Statistical Association, Annals of Statistics, and Journal of Nonparametric Statistics. His professional memberships include the American Statistical Association, Mathematics Association of America, Biometric Society, Institute of Mathematical Statistics, Royal Statistical Society, International Association for Statistical Computing, and Interface of Computing Science and Statistics. His publications are in the International Journal of Computational Science, Journal of Statistical Computation and Simulation, Journal of Computational Statistics & Data Analysis, Journal of Computational Statistics, Journal of Applied Stochastic Models in Business and Industry, Journal of Applied Artificial Intelligence, Journal of Forest Science, Journal of Vaccine, Journal of Microbiology, Proceedings of the International Conference on Parallel and Distributed Computing and Systems, Proceedings of the International Conference on Communications, Internet and Information Technology, and Proceedings of the IEEE LCN Workshop on Network Security.

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