Dr. Bridget F. B. Algee-Hewitt is an incoming Assistant Professor in the Department of Anthropology at The Florida State University, where she will also serve as the director of the Biological Anthropology Laboratories and Skeletal Collections and as the resident Forensic Anthropologist. Dr. Algee-Hewitt's broad interest in skeletal biology, human genetics, and quantitative analysis has allowed her to contribute to research that has theoretical implications for the larger study of human variation, evolution, and population history in Anthropology, while also making practical contributions to the applied fields of skeletal identification and DNA profile analysis in the Forensic Sciences. Dr. Algee-Hewitt's current research program includes developing novel computational approaches to biological data analysis to explore geographic patterns of human variation from a dual skeletal and genetic perspective, challenging standards of evidentiary significance when estimating biological and demographic parameters in forensic case identification contexts, and engaging debates over the practical use of ancestry, race and ethnicity in studies of human biological variation in the United States. She maintains a strong commitment to social justice work, presently studying morphogenetic variation in Latin America, with an emphasis on migrant populations and, in particular, US-Mexico border deaths. Dr. Algee-Hewitt has recently received a National Institute of Justice grant in support of newly developed computational methods for age-at-death estimation from skeletal indicators using laser scan data. This collaborative project brings together her interests in skeletal analysis, demographic modeling, and new techniques in morphometrics and supports her commitment to enriching current methods for medico-legal case identification and for the characterization of skeletal populations in Bioarchaeology. Her work continues to receive international support, including funding and fellowships from the National Science Foundation and the Social Sciences and Humanities Research Council.
Dr. Algee-Hewitt was awarded her PhD in Biological Anthropology at the University of Tennessee in Knoxville and her Master's degree from Bryn Mawr College in Classical and Near Eastern Archaeology. She has completed post-doctoral work in both skeletal biology and human genetics, first, as the Haslam Post-Doctoral Fellow in the Forensic Anthropology Center and the Molecular Anthropology Laboratories at the University of Tennessee in Knoxville, and, most recently, as a Research Fellow in the Stanford Center for Computational, Evolutionary and Human Genomics and in the Department of Biology at Stanford University. She has also served as an Assistant Professor in Biomedical Sciences, teaching clinically oriented anatomy and biostatistics. Dr. Algee-Hewitt looks forward to supporting student research related to human biological variation, population genetics, computational biology, skeletal and molecular laboratory analysis, and forensic case identification.
Select Publications (2015-2016)
Algee-Hewitt, B. F.B., Edge, M. D. , Kim, J., Li J. Z. and Rosenberg, N. A. (2016). Individual identifiability predicts population identifiability in forensic microsatellite markers. Current Biology. doi:10.1016/j.cub.2016.01.065
Algee-Hewitt, B. F.B. (2016), Population inference from contemporary American craniometrics. Am. J. Phys. Anthropol.. doi: 10.1002/ajpa.22959
Algee-Hewitt, B. F.B. and Wheat, A. D. (2015), The reality of virtual anthropology: Comparing digitizer and laser scan data collection methods for the quantitative assessment of the cranium. Am. J. Phys. Anthropol.. doi: 10.1002/ajpa.22932
Stoyanova, D., Algee-Hewitt, B. F.B. and Slice, D. E. (2015), An enhanced computational method for age-at-death estimation based on the pubic symphysis using 3D laser scans and thin plate splines. Am. J. Phys. Anthropol., 158: 431-440. doi: 10.1002/ajpa.22797
Slice, D. E. and Algee-Hewitt, B. F. B. (2015), Modeling Bone Surface Morphology: A Fully Quantitative Method for Age-at-Death Estimation Using the Pubic Symphysis. J Forensic Sci, 60: 835-843. doi:10.1111/1556-4029.12778
Software for Download
forAge is a Java program for estimating the age-at-death of human skeletal remains based on 3D laser scans of the pubic symphysis. For more details on the use and implementation of the algorithms see Slice & Algee-Hewitt (2015) and Stoyanova, Algee-Hewitt & Slice DE (2015) as given above. Download the current version of forAge in the Resources section of this website.