Kevin R. Gehringer

Kevin graduated from the University of Washington in 2001 with a Ph.D. in Forest Biometrics. Kevin also has an M.S. degree in Applied Mathematics (1990) with an emphasis in numerical analysis and numerical computing and a B.S. degree (1987) in Mathematics with a minor in Computer Science, both from the University of Tulsa in Tulsa, Oklahoma.

Kevin's Ph.D. research included predictive dynamic modeling of forest stand development, growth and yield modeling, nonparametric multivariate classification of forest stands, and the simulation of natural and managed forest stands. His dissertation was titled "Dynamic growth and yield modeling with climate: A model for plantation Douglas-fir in the Pacific Northwest." For his Master's degree, Kevin's research included nonparametric probability density estimation. His thesis title was "Nonparametric Probability Density Estimation Using Normalized B-Splines."

In June of 2002 Kevin started a biometrics and statistics consulting business (sole proprietorship) to consult with several clients on the problem of defining multivariate assessment procedures that are both statistically and biologically consistent for their forest management applications. Two years later this work was still going on and had expanded into simulation modeling of riparian forest development and function. In September of 2004 Kevin formed Biometrics Northwest LLC, closing the sole proprietorship, continuing to refine and develop the riparian simulation models and assessment procedures, publishing the assessment procedures in Forest Ecology and Management in 2006 and presenting two papers and a poster describing the use of the assessment procedures and riparian simulation models at the 2010 national convention of the Society of American Foresters.