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Department of Statistical Science
phone: (208) 885-2929
fax: (208) 885-7959
415A Brink Hall
875 Perimeter Drive, MS 1104
Moscow, ID 83844-1104


Christopher Williams
Christopher Williams, Ph.D.
Department Chair Mathematics & Statistical Science, Statistics Professor, and Affiliate Professor of Bioinformatics and Computational Biology
My research interests are on problems in statistical genetics, biostatistics, and statistical methods applied to issues in natural resources. One of the topics that I work on is the analysis of human twin data. Another area of interest is the estimation of disease prevalence from various types of data, such as in groups of fish that are collected and have their tissue pooled to test for disease status.
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Erkan O. Buzbas
Erkan O. Buzbas
Assistant Professor
My research involves theoretical modeling of evolutionary phenomena at the population level and development and applications of computational statistical methods to perform inference about evolutionary phenomena using population genetic data. I maintain a broad interest in statistical theory and philosophy of statistics, evolutionary theory, and complex systems.
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Brian Dennis
Brian Dennis
Research interests: Statistical Ecology, Biometrics, Mathematical Modeling, Theoretical Ecology, Conservation Biology, Population Dynamics
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Paul Hohenlohe
Paul Hohenlohe, Ph.D.
Assistant Professor
Our research focuses on the genomic architecture of evolving populations, developing sophisticated theory and analytical tools to harness the power of modern DNA sequencing technology. We address basic questions of evolutionary biology as well as applications to conservation and cancer biology.
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Timothy Johnson
Timothy R. Johnson, Ph.D.
Professor, Affiliate Professor of Psychology
Broadly speaking my research interests are in psychometrics and behavioral statistics. More specific topics of interest are item response models for accounting for individual differences in response style, accounting for missing data due to coarsening or aggregation, random utility models for categorical response variables, Monte Carlo inferential methods for analytically or numerically intractable likelihood functions or posterior distributions, and quasi-parametric methods of inference and model evaluation. I also collaborate frequently with researchers in a variety of disciplines including psychology, business and economics, and natural resources and ecology.
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Paul Joyce
Paul Joyce, Ph.D.
Dean of College of Science & Professor
My research focuses on developing and rigorously testing statistical methods and stochastic models to describe genetic phenomena. These include models and methods to: predict how viruses adapt; show the effect of antibiotic resistance genes encoded on plasmids; predict ancestral relationships among species; and to understand the ecological structure of bacterial communities in biofilms. This broad focus has lead to collaborations with researchers in phylogenetics, population genetics, theoretical ecology, mircobial ecology, experimental evolution, conservation genetics, and the list is growing.
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Stephen Sauchi Lee
Stephen Sauchi Lee, Ph.D.
Associate Professor
My general research area is Multivariate and Computational Statistics. It includes: Integrating models and methods from statistics, neural networks, machine learning, and data mining communities to discover relationships and recognize patterns in databases; modeling using regression and classification for interpretation and forecasting; extracting information and patterns; and developing computational algorithms to increase efficiency and prediction accuracy.
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Bahman Shafii
Director of Statistical Programs and Professor

(208) 885-9498 |
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Renae Shrum
Renae Shrum
Michelle Wiest
Michelle Wiest, Ph.D.
Associate Professor
Michelle’s research interests lie in epidemiological and biostatistical methods. Her work includes developing multivariate diagnostic and prognostic tools for evaluation of metabolic status, study design for nutrition interventions, and evaluation of risk factors for mining injuries. She plays a large role in supporting research across UI as a statistical consultant and in training master’s level statistics students in consulting.
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