Dr. Krish Seetah is an environmental archaeologist, specializing in zooarchaeology. He is an assistant professor in the Department of Anthropology, with an educational background in biology and health studies, and ecology. His research integrates archaeological, historical, anthropological, and climate science data and approaches.
Dr. Seetah received his Ph.D. from the University of Cambridge, UK, and has held post-doctoral positions at the University of Cambridge and Reading University, UK, and the Scientific Research Centre, Slovenia, as well as a lectureship at the University of Central Lancashire, UK. At Stanford he holds affiliations with the Center for Innovation in Global Health – where he serves as the Faculty Lead for the Malaria Working Group; Woods Institute for the Environment; Center for Population Health Science; The Europe Center; Center for Medieval and Early Modern Studies; Center for Comparative Studies in Race and Ethnicity, Center for African Studies and the Center for South Asia. He is an elected member of the Society of Antiquaries of London and has served as a reviewer for numerous scientific journals and funding / fellowship bodies. He was awarded the Society for American Archaeology Book Award, in the Scholarly Category, in 2019.
His zooarcheological research has focused on the analysis of cut marks, viewed from a broader cultural lens, as a means of investigating changing patterns of meat consumption and the associated ecological and health impacts since prehistory. This has resulted in a recent book with CUP. Working closely with an international group of experts, since 2008 he also directs the Mauritian Archaeology and Heritage (MACH) project, which focuses on bringing the unique and rich archaeological past of Mauritius to a wide audience. MACH engages with a multidisciplinary approach to historical archaeology, exemplified in a recent edited volume published by OUP.
Bringing his academic background and elements of earlier work into a new framework, his more recent research concentrates on zoonotic and vector borne diseases, specifically malaria and Rift Valley Fever. By integrating a comprehensive assemblage of archaeo-historic, anthropological and ecological datasets, and using Artificial Intelligence, this research seeks to develop predictive models to better assess future impacts of climate fluctuation on disease activity. His main field sites are in Mauritius and Kenya, with a new northern hemisphere case study being developed in Venice, Italy.