Teotihuacan Research Laboratory

Faculty and Staff

Photo of Michael E Smith
Michael E. Smith
Director and Professor

Smith is an archaeologist who specializes in the Aztecs of central Mexico. He has combined the results of his fieldwork with studies of documents to analyze the expansion of the Aztec empire, the nature of the Aztec economy, cities and city-states, and patterns of social inequality.

Photo of Christopher Morehart
Christopher Morehart
Associate Director and Associate Professor

Morehart is an archaeologist, environmental anthropologist and ethnobotanist/paleoethnobotanist. Much of his work centers on Mesoamerica, and for the last several years has concentrated on the Basin of Mexico. A great deal of his research involves questions of inequality and ideology.

Photo of Mercedes Cabrera Cortes
Oralia Cabrera
Academic Professional, Operations

Cabrera studies the production and consumption of ritual lapidary objects and textile and ceramic production systems at Teotihuacan. Her recent research addresses the socio-economic integration of low-status sectors of the society, as well as issues of craft production by independent craftspeople.

Photo of Saburo Sugiyama
Saburo Sugiyama
Research Professor

Sugiyama's major research interests are on Mesoamerican social histories (particularly Teotihuacan), ancient urbanism, iconography and symbolism, and theories of cognitive archaeology.

Photo of Ben Nelson
Ben Nelson
Professor Emeritus

Nelson's research encompasses cycles of social complexity and connectivity among the ancient cultures of northwestern Mexico and the American Southwest; human roles in and responses to desertification of grasslands in those regions; and relating archaeology to indigenous cultures of the present.

Angela HusterAngela Huster
Postdoctoral Research Associate

Huster is a Mesoamerica archaeologist interested in the ways that households dealt with the rise and fall of states, including Teotihuacan, the Aztec Empire and the period between the two. Her research includes ceramic analysis, assembling comparative datasets and the preservation of legacy data.

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