Evolution, Ecology, and Sociobiology of Infectious Disease Epidemiology; Mathematical Modeling

2005 – Ph.D., Tufts University (Biology)
2001 – M.S., Rutgers University (Mathematics)
1999 – A.B. Princeton University (Mathematics)

Dr. Nina Fefferman’s research focuses on the mathematics of epidemiology, evolutionary and behavioral ecology, and self-organizing behaviors, especially of systems described by networks. While the research in the Fefferman Lab frequently focuses on disease in human and/or animal populations, and how disease and disease-related behavioral ecology can affect the short-term survival and long-term evolutionary success of a population, people in the lab have worked on problems as diverse as computer network security to social behaviors in grass-roots organizations that make the movement susceptible to radicalization. Any fun integration of applied mathematics and human or animal processes is fair game!

Please visit Google Scholar to see publications coming out of the lab.