Vice President and co-founder of Eigenvector Research, Inc. established January 1995.
Neal Gallagher earned a Ph.D. in Chemical Engineering with a mathematics minor from the University of Arizona in 1992, an M.S. in Chemical Engineering from the University of Washington in 1987 and B.S. degrees in Chemical Engineering and Engineering Physics from the University of Colorado in 1985.
Recent research includes novel algorithms for iterative target detection in hyperspectral imaging and shift-invariant tri-linearity (SIT) for modeling hyphenated chromatography data. Since founding Eigenvector in January 1995, Neal has been intimately involved in chemometrics consulting, teaching short courses and software development including algorithms for detection, classification and quantification. Specific interests include hyperspectral imaging, process modeling, multi-variate curve resolution and classical least squares modeling.
A technical white paper deriving the classical least squares (CLS) and weighted least squares (WLS) models and showing how generalized least squares (GLS) and extended least squares (ELS) extend CLS to provide clutter suppression for characterized interference signals in spectroscopic and hyperspectral measurements.
