Michelle Girvan (born 1977)[1] is an American physicist and network scientist whose research combines methods from dynamical systems, graph theory, and statistical mechanics and applies them to problems including epidemiology, gene regulation, and the study of Information cascades.
[2] Girvan graduated from the Massachusetts Institute of Technology in 1999, with a double major in mathematics and physics and a minor in political science.
[4] Her dissertation, The Structure and Dynamics of Complex Networks, was supervised by Steven Strogatz.
[5] After postdoctoral research at the Santa Fe Institute, she joined the University of Maryland faculty in 2007.
[7] In 2013 she married law professor Jonathan Siegel of George Washington University.