Michael Raghib Moreno: Difference between revisions
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Michael Raghib is a postdoctoral research associate jointly appointed in the Department of Ecology and Evolutionary Biology (with Simon A. Levin) and the Program in Applied and Computational Mathematics (with Yannis G. Kevrekidis) at Princeton University. He is interested in measure-valued stochastic processes and their deterministic approximations, with rules/interactions motivated by problems in spatial ecology. | Michael Raghib orginally from Colombia. Currently he's is a postdoctoral research associate jointly appointed in the Department of Ecology and Evolutionary Biology (with [http://www.math.princeton.edu/~slevin Simon A. Levin]) and the Program in Applied and Computational Mathematics (with Yannis G. Kevrekidis) at Princeton University. He is interested in measure-valued stochastic processes and their deterministic approximations, with rules/interactions motivated by problems in spatial ecology. My PhD research in Applied Mathematics, at the University of Glasgow, revolved around spatial-temporal point process models of plant populations, extensions of those models to include size structure, and new closure methods based on entropy maximisation. Current work deals with issues of scale in collective behavior, where we have drawn much inspiration from methods of anomalous diffusion. This is complemented by equation-free approaches to study the coarse bifurcations of complex systems when population-level models are not available in closed form. Other areas of interest include adaptive dynamics and contact processes. | ||
[http://www.math.princeton.edu/~mraghib homepage] | [http://www.math.princeton.edu/~mraghib homepage] | ||
Revision as of 18:31, 19 March 2006
Michael Raghib orginally from Colombia. Currently he's is a postdoctoral research associate jointly appointed in the Department of Ecology and Evolutionary Biology (with Simon A. Levin) and the Program in Applied and Computational Mathematics (with Yannis G. Kevrekidis) at Princeton University. He is interested in measure-valued stochastic processes and their deterministic approximations, with rules/interactions motivated by problems in spatial ecology. My PhD research in Applied Mathematics, at the University of Glasgow, revolved around spatial-temporal point process models of plant populations, extensions of those models to include size structure, and new closure methods based on entropy maximisation. Current work deals with issues of scale in collective behavior, where we have drawn much inspiration from methods of anomalous diffusion. This is complemented by equation-free approaches to study the coarse bifurcations of complex systems when population-level models are not available in closed form. Other areas of interest include adaptive dynamics and contact processes. homepage