Our ultimate goal is to understand how cells respond to various stimuli they are exposed to. We develop computational and statistical models to study gene expression regulation in a systems' biology framework. We analyze high-throughput gene expression data together with genome-wide DNA association (ChIP-chip) data in order to understand the role of certain gene networks in relation to mammalian immune responses and major diseases, like diabetes, and cancer.

Post-doctoral position available!!
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    University of Pittsburgh Department of Computational Biology