Quantitative Biology


Progress in genomic research has led to the realization that effective models for predicting cellular behavior must take into account the network interactions that dynamically mediate gene regulation. Since behavior arising from these complex interactions is difficult to predict without quantitative models, there is a need for experimentally validated computational modeling approaches that can be used to understand the complexities of gene regulation. Working in close collaboration with Jeff Hasty at the Biology Department, UCSD, we develop nonlinear stochastic models for the dynamics of genetic regulatory modules and their interactions in living cells.

Some of the specific projects we are currently working on include

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