Cell-death process, which occurs ubiquitously under normal and healthy conditions, is disturbed in diseased tissues. Cell-death process can be viewed as an outcome of a network of reactions. How does the network dynamically orchestrate the overall cell-death outcome? Can the network be re-wired to reverse the disturbances in the cell-death process? The goal of this project is to understand the cell-death process by developing a kinetic model of the network of reactions and validating with experimental data. The project will involve simulating the model to generate big data and analysing the same using appropriate tools. Simulations and analysis will be conducted using Matlab and/or Python toolboxes. Large-scale experimental data is available in-house. While no a priori background in biology is needed, an interest to learn the relevant aspects and collaborate with experimentalists is desired.