简介

My research interests involve modern nonparametric and multivariate methods. Specifically, my research involves primarily functional data analysis and cluster analysis, and secondarily, smoothing methods, contingency tables, computationally intensive methods, and the history of statistics. A common theme of much of my research is been the innovative use of data alteration approaches such as smoothing and shrinkage to improve the quality of some data analysis (cluster analysis in particular). Some of my favorite recent research has been work with John Grego to estimate the size of a loggerhead turtle population, given very limited and nonstandard observed capture-recapture-type information. I have collaborated with Ian Dryden and Ph.D. students Nicole Lewis and Wen Cheng in identifying peptides and aligning spectra resulting from mass spectrometry data. Projects with my current Ph.D. students include the development of Bayesian methods for registration, clustering, and curve fitting of functional data. I also regularly collaborate with researchers such as Suzanne Baxter in USC's Institute for Families in Society, analyzing survey data about the diet and nutrition of schoolchildren.