Tumor necrosis factor (TNFa) is an important cytokine that is involved in mammalian innate and adaptive immune regulation. Dysregulation and overproduction of TNFa have been implicated in many human diseases. Signal transduction, that is a series of molecular events in immune cells triggered by TNFa is known to be both pro-apoptotic and pro-survival. Noise or fluctuations or cell-to-cell variability that may occur during TNFa signaling propagates and distributes along with the signal. The extent of propagation and distribution in the TNFa signaling pathway may decide the fate of a cell triggered by TNFa. The goal of this project is to develop strategies to control fluctuation propagation triggered by TNFa. This study will involve construction of deterministic and stochastic mathematical models of the TNFa signaling pathways and numerical simulation of the models.