Dr. Nina Fefferman is the Outgoing Director of NIMBioS, the associate director of the Univeristy of Tennesse One Health Initiative, and a professor in the Departments of Ecology and Evolutionary Biology and of Mathematics at the University of Tennessee. Nina earned her AB in Mathematics at Princeton, her MS in Mathematics at Rutgers, and her Ph.D. in Biology at Tufts.

Her favorite area of research is studying under which conditions individuals participating in social groups can act purely out of self-interest, but also benefit the group as a happy accident. While she looks at this from a variety of perspectives, one she keeps coming back to is social networks and how the contacts and relationships individuals form allow the whole population to share information or resources, or make decisions, or minimize the spread of disease while still having a functioning society.

This question can be applied to lots of different areas of research: behavior, disease control, evolutionary sociobiology and the evolution of cooperative social systems, real estate markets, supply chain management, and many more. Social network structures vary greatly between different species and how they interact in a social group, but the math to study them can be very similar. Her research asks the question of how individual behaviors shape the emerging structures of the network that then shape the individual and shared group benefits the group can produce as a whole.