http://pages.discovery.wisc.edu/~ppoon/

Broadly speaking, Philip studies systems characterized by coupled variability over a broad range of spatial and temporal scales--canonical multiscale system examples are neural networks and atmosphere--ocean systems. In these systems, the long-time dynamics modulate and are driven by short-time processes, giving rise to complex behaviors such as pattern formation and chaos.

In the past, Philip has utilized tools such as Stochastic differential equations (SDEs) and partial differential equations (PDEs) to model the effective slow, long-time dynamics driven by fast, short-time process, in the context of either stochastic models of climate, or a paradigmatic model for the coupling of unstable small-scale modes with the neutrally stable large-scale modes with potential applications to complex spatiotemporal dynamics in various physical systems. Philip now is shifting focus to the emergence of similar behaviors in biological systems.


CONTACT

PPoon@discovery.wisc.edu

Dr. Philip Poon
Wisconsin Institute for Discovery
330 N. Orchard Street
Madison, WI 53715