Mathematical Biology



Theoretical analysis and practical application of Adaptive Finite Element Methods (AFEMs)


Computational and systems biology, including modeling of signal transduction, gene and protein networks, and stochastic systems


Partial Differential Equations and Applied (Functional) Analysis


Mathematical biology: modeling of cancer initiation and progression, dynamics of DNA transcription and repair, modeling of learning and evolution of language


Microstructured Materials, Multiphase Flows, Crystal Growth, Nanostructure Patterning, Metallic Alloys, Tumor Growth, Tissue Engineering


Computational Biology, Developmental and Cell Biology, Numerical Analsis, Interface Dynamics in Materials and Fluids, High-Performance Computing, Modeling and Simulation of Tissue Patterning, Systems Biology
        Andrew Noymer
        Demography; mathematical models of disease transmission at the population level; epidemiology; mathematical models of social phenomena.
Applied mathematics, applied probablility, stochastic differential equations


Applied Mathematics, Solid Mechanics, Resource Economics, Biomathematics


Analysis and Modeling of Reaction-Diffusion-Advection Fronts, Stochastic Partial Differential Equations, Asymptotics and Computations, Multiscale Analysis of Partial Differential Equations and Applications, Mathematical Modeling in Speech and Hearing Sciences.


The Level Set Method, Moving Interface and Free Boundary, Image Processing and Computer Graphics, Time Reversal and Wave Propagation, Domain Decomposition
2011 Mathematical Biology. Copyright © 2013. The Center for Complex Biological Systems, UC Irvine
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