My research utilizes advanced statistical and computational methods to address specific questions in modern human variation, human growth and development, forensic anthropology, and bioarchaeology. I emphasize the use of Bayesian and machine learning techniques to characterize the multidimensionality of the human phenotype. My work is inherently collaborative drawing influence from evolutionary biology, computer science and statistics, human ecology, and computational social science.

Specific projects include:

• the use of a Gaussian copula to model the dependency structure underlying subadult skeletal and dental traits

• vertebral neural canal variation

• information theory in biological anthropology

• subadult age estimation

• subadult population affinity estimation

• subadult methods in bioarchaeology