R.W. Doerge has been employed at Purdue University since 1995 where she holds a joint
appointment between the Colleges of Agriculture (Agronomy; 25%) and Science (Statistics; 75%). 
Prior to joining Purdue Dr. Doerge was a postdoctoral fellow at Cornell University
(1993-1995) under the direction of Dr. Gary Churchill (now at Jackson Laboratory).  
Dr. Doerge received a Ph.D. in Statistics from North Carolina State
University in 1993 under the direction of Dr. Bruce Weir (now 
at the University of Washington, Seattle), and a Masters in Mathematics (University
of Utah) under the direction of Simon Tavare' (now at University
of Southern California).  Since joining Purdue University in 1995 Dr. Doerge
has won many awards for both teaching and research: Teaching for Tomorrow
Award (1996); Outstanding Assistant Professor for Excellence in Teaching
and Research (1997); Outstanding Teacher of Undergraduates in the School of
Science (1998); University Scholar (2001); College of Science Graduate
Student Mentoring Award (2007).  Dr. Doerge was promoted to Associate
Professor of Agronomy and Statistics in 2000, Full Professor
of Agronomy and Statistics in 2003. In 2007 Rebecca was elected a Fellow of the American Statistical
Association, and a Fellow of the American Association for the
Advancement of Science (AAAS).
 


Dr. Doerge has played an integral role in the establishment of Genomics at
Purdue University, and continues to forge new ground in the exciting areas
of statistical genomics, quantitative genetics, and bioinformatics.
Although Dr. Doerge's formal training is in Mathematics and Statistics,
her research lies on the interdisciplinary boundaries of many fields
(Animal Science, Biology, Biochemistry, Botany, Chemistry, Computer
Science, Horticulture, Genetics, Genomics, Plant Breeding, etc.) that are
currently involved in assessing genomic based questions. Statistical
genomics, also referred to as Statistical Bioinformatics, a 
component of bioinformatics, brings together many scientific disciplines into one
arena to ask, answer, and disseminate biologically interesting
information in the quest to understand the ultimate function of DNA
and epigenomic associations for each and every genome.

Currently, Dr. Doerge's research program
encompasses four broad areas: development of statistical methodology for
genetic mapping and quantitative trait loci (QTL) location; applying up to
date genetic mapping and (e-)QTL methodology to real experimental data;
assessing genetic variation and diversity of populations and germplasm
collections; and understanding and analyzing gene expression, 
protein expression, and epigenomic data for the purpose of statistically designing
and then testing (epi-)genomic/biologically based questions.

For more information, please see www.stat.purdue.edu/~doerge