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We use systems biology approaches to uncover the underlying principles governing the operation of genetic networks. Specifically, we integrate computational modeling and data analysis to elucidate the relationship among robustness of network dynamics, stochasticity in gene expression and heterogeneity in a cell population. Our studies will contribute to a systems-level understanding of biological processes determining cellular state transitions.


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