


Bio for Kevin R. Gehringer

Since September of 2004 Kevin has been running Biometrics Northwest LLC,
a statistics and biometrics consulting company. Kevin has a Ph.D. in
Forest Biometrics from the University of Washington, and M.S. and B.S.
degrees from the University of Tulsa in Applied Mathematics and
Mathematics with a Computer Science minor. His research included
predictive dynamic modeling of forest development, nonparametric
multivariate classification of forests types, the simulation of natural
and managed forests, and nonparametric probability density estimation.

Kevin’s professional experience includes software development and data
analysis with MATLAB, design, development and support of a multi-mission
space science information system at the Jet Propulsion Laboratory,
troubleshooting numerical optimization algorithms in a retail market
analysis system for MPSI Americas, the development of a graphical user
interface to process well log data for Amoco Production and Research
Company, and the development of a prototype client and server for the
delivery of geological data over the internet for IBM Systems
Integration Division. Kevin has experience programming in MATLAB, R for
statistical data analysis, C, Fortran 77, 90, 95, and assembly language
on a variety of systems.

Kevin’s education is in biometrics, statistics, applied mathematics, and
numerical computing, and he has performed research in parametric and
nonparametric statistical methods, including clustering and
classification algorithms, probability density estimation, simulation
modeling, Monte Carlo analysis, and numerical analysis and numerical
computation including linear and nonlinear differential equations,
optimization and parameter estimation. Kevin is interested in data
analysis and modeling problems involving large sample sizes, as well as
the scalability of clustering and classification algorithms, robust
parameter estimation and optimization, predictive modeling, and large
scale and distributed computing.

