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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 Professor of Bioinformatics and Computational Biology
Research interests: statistical genetics, biostatistics, statistical methods applied to issues in natural resources, analysis of human twin data, estimation of disease prevalence.
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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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Audrey Fu
Audrey Qiuyan Fu
Assistant Professor, Affiliate Assistant Professor of Bioinformatics and Computational Biology
Research interests: Applied Statistics; Bayesian Statistics; Statistical Computing; Genomics; Computational Biology
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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
Research interests: applied statistics, behavioral statistics, Bayesian statistics, psychometrics, statistical computing.
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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 Lee
Stephen Sauchi Lee, Ph.D.
Associate Professor
Research interests: Applied Statistics, Statistical Computing, Machine Learning, Data Mining, Data Science.
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Bahman Shafii
Director of Statistical Programs (CALS) and Professor
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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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