 T cell-based cancer immunotherapies rely on the formation of immunological synapses between effector T cells and target cells. These synapses are essential for the activation of the T cells and the production of citalytic effects against the tumors. In order to optimize the efficacy of these treatments, it is important to understand how the number and quality of these synapses change over time. We have developed mathematical models to study this process, which can be used to inform the development of new treatments.