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Professor Daniel B. Carr earned a B.A. in mathematics and psychology from
Whitman College in 1968, an M.Ed. in counseling from Idaho State University
in 1972, an M.S. in statistics from Oregon State University in 1972, and
a Ph.D. in statistics from the University of Wisconsin, Madison, in 1976.
Prior to joining George Mason University he worked as a senior research
scientist and technical working group leader of the Exploratory Data
Analysis Group in the Computational Science Department of Battelle
Pacific Northwest Laboratories. He is a Fellow of the American
Statistical Association, a recently retired associate editor for
Journal of the American Statistical Association, a former chair of
the Section on Statistical Graphics and the current Statistical Graphics
columnist of the national Statistical Computing and Statistical Graphics
Newsletter. Dr. Carr has written over 65 papers with many developing
graphical and computational methods for exploratory analysis of large
data sets. Data sets addressed in this research range from "traditional,"
such as measurements from national acid deposition networks to
non-traditional, such as solution sets from computational fluid dynamics
codes. For solution sets too large for storage, Dr. Carr's approach
involves parallel algorithmic assessment of virtual plots while a time
step is still in memory. Dr. Carr currently directs a major project
funded by the Environmental Protection Agency. He is Professor of Applied
and Engineering Statistics.