Harrison Hartle

Harrison’s work spans a variety of topics in mathematical and computational modeling of complex systems. His past work includes studies of quasi-2D fluid turbulence, spatiotemporal chaos among neuronal oscillators, and nonlinear shallow water wave equations. Currently, Harrison works primarily on the development and study of generative models of complex networks, with a focus on dynamic networks and the interplay of link-dynamics and node-variable dynamics.

In the coming years, Harrison plans to work on null modeling and mechanistic modeling of static and dynamic networks, the development of theoretical techniques for analyzing such models, improved methodologies for connecting models and data, and a variety of real-world applications.

Harrison holds a degree in Physics from the University of Alaska, Fairbanks and a PhD in Network Science from Northeastern University. He joined SFI in October 2023 as an Omidyar Complexity Postdoctoral Fellow.