Michelle Girvan
American physicist
From Wikipedia, the free encyclopedia
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] She is one of the namesakes of the Girvan–Newman algorithm, used to detect community structure in complex systems.[3]
Girvan is a professor of physics at the University of Maryland, College Park.[2]
Education and career
Girvan graduated from the Massachusetts Institute of Technology in 1999, with a double major in mathematics and physics and a minor in political science. She completed a Ph.D. in physics at Cornell University in 2004.[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.[4]
Recognition
In 2017 Girvan was named a Fellow of the American Physical Society (APS), after a nomination from the APS Topical Group on Statistical & Nonlinear Physics, "for seminal contributions to the nonlinear and statistical physics of complex networks, including the characterization of network structures and dynamics, and interdisciplinary applications".[6]
