My students and I develop new computational methods that improve the understanding of data generated by chemical instrumentation. This interdisciplinary field of chemistry, known as chemometrics, is an exciting blend of chemistry, mathematics, and computer programming. We are currently involved in several projects including analyzing chromatographic and spectroscopic data using regression stacking (or “data fusion”) methods, improving the optimization of data fusion methods, and developing data smoothing and compression techniques utilizing wavelet transformations.
