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Corina Tarnita's research examines the organization and emergent properties of complex adaptive systems across multiple scales, from single cells to entire ecosystems. Her central approach involves the development of general theoretical frameworks, while simultaneously using empirical data to identify and catalog patterns in nature. This includes the development of models and predictions that are then empirically tested using eco-evolutionary experiments, molecular genomic analyses, and field manipulations. Her work primarily combines theoretical elements of evolutionary dynamics and evolutionary game theory with aspects of network theory. The lab collaborates with experimental field ecologists, molecular biologists, and evolutionary biologists to integrate modeling with empirical work. The questions she investigates range from multicellularity and social behaviors in bacteria, insects, and humans to the effects of population structure and spatial patterns on evolutionary and ecological dynamics, as well as mutualistic interactions, particularly in the context of multi-species networks of symbionts.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.