Database of R users at University of Arizona

To be added to this data base, please email bruce walsh, at jbwalsh@u.arizona.edu

Name	Departments(s)	email	R level	OK to contact?	Research	Area(s) of Statistical expertise
Kevin Bonin	EEB	kebonine@email.arizona.edu	very beginning	Yes		Independent contrasts analysis
Daivd Hearn	EEB	dhearn@U.Arizona.EDU				randomization/bootstrap tests, statistical pattern recognition, and phylogenetic algorithms
David Henderson	Animal Sciences, Epi/Biostats	DNADave@U.Arizona.Edu	Intermediate to advanced	Yes	Statistical Genetics, Bioinformatics, Bayesian Statistics	Linear models, Maximum Likelihood methods, data resampling methods including the bootstrap, Bayesian methods, MCMC methods
Laurie Marnell	MCB	lmarnell@u.arizona.edu	beginning R but OK in plot formatting	Yes	Mapping polymorphisms and looking for associations with arsenic biotransformation
Heather Maughan	EEB	hmaughan@u.arizona.edu	very beginning	Yes	Genomic and phenotypic evolution in sporeforming bacteria
Susan Miller	Biotechnology Computing Facility, ARL	sjmiller@email.arizona.edu	beginner	Yes	biotech computing tasks, including microarray data processing
Dave Mount	MCB, AZ Cancer Center	mount@u.arizona.edu			classifiers for array data; clinical, bioinformatics and genome data management; evolutionary models of sequence divergence	Bayesian models of sequence alignment and divergence
Cheryl Vanier	EEB	vanier@email.arizona.edu	advanced beginner	yes	Genomic and quantitative approaches to evolutionary ecology	Linear models (including SEM), nonparametric approaches, experimental design
Bruce Walsh	EEB, MCB, Plant Sci, Animal Sci, Epi/Biostats	jbwalsh@u.arizona.edu	Moderate	Yes	Statistical genetics	Linear models, likelihood, variance component estimation, Bayesian methods

Last Updated on 9/29/03