The BIO5 Institute

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Biomathematics

Faculty:

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Bhattacharya, Rabindra: Stochastic models and their statistical analysis
Carriere, Yves: Insect-transgenic plant interactions
Chesson, Peter: Our research looks the maintenance of species diversity. We develop general theory, specific models, and ways of testing theory. We are particularly concerned with the roles of spatial and temporal scale, and trophic structure in diversity maintenance. We also study life-history theory, invasive species, host-parasitoid dynamics, terrestrial coral reef ecology,
Dornhaus, Anna: Organization in groups, how collective behaviors emerge from the actions and interactions of individuals, is the main interest of Anna Dornhaus. As model systems she studies social insect colonies (bumble bees, honey bees and ants) in the laboratory and in the field, as well as using mathematical and individual-based modeling approaches. She investigates mechanisms of coordination in foraging, collective decision-making, task allocation and division of labor. Her recent work has included the role of communication in the allocation of foragers to food sources; the evolution of different recruitment systems in different species of bees, and how ecology shapes these recruitment systems; house hunting strategies in ants; speed-accuracy trade offs in decision-making; and whether different group sizes necessitate different organizational strategies. Please check my homepage for details on individual projects.
Ferriere, Regis: Interplay between adaptive trait evolution and ecological interactions. Mathematical foundations of adaptive dynamics modelling. Empirical testing using clonal microarthropods and lizards.
Henderson, David: Statistical applications to genomic and genetic data. Specifically, the development of novel statistical methods for the analysis of DNA microarray experiments and QTL analysis.
Higgins, Charles : Biologically-inspired engineering and computational neuroscience.
Kececioglu, John: Design and analysis of algorithms with a focus on discrete problems in computational biology

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