Our Research Foci

There are several research themes in our lab, which are all related. Our general focus is to develop and employ methods for comparative analysis of high-dimensional phenotypic data, typically defining organismal morphology. Current research themes include:

• Methods for visualization of high dimensional data

• Methods for combining different sets of high-dimensional geometric morphometric data to compose an organismal morphological data set

• Model selection methods for high-dimensional evolutionary data

• Analysis of statistical properties for various ad hoc phylogenetic comparative methods

• Developing effect sizes for the comparison of evolutionary trends

• Developing recursive algorithms that avoid large intermediate matrices in calculating statistics for high-dimensional data

• Developing high-dimensional data likelihood proxies

• Developing software that makes all the objectives above contemporaneously available to scientists

Recent Research

Some of our recent research accomplishments are highlighted below:

• Measuring bone rugosity
• Multivariate exploration of phylogenetic signal
• Morphometric Measurement Error
• Phylogenetic ANOVA consilience
• Phylogenetic signal effect size
• Geometric Moprhometrics analytical advances
• Phylognetically aligned component analysis
• RRPP