My research focuses on the spatio-temporal signaling events that regulate Cell Morphogenesis and Fate Decisions. The main hypothesis relevant to our research is that these signaling events are highly dynamic, are precisely regulated in time and space, and can be highly heterogeneous within distinct cells of a population. An important current limitation in our field is that this spatio-temporal resolution of signaling is missed in classic biochemical methods that average populations of thousands of cells, or that rely on the analysis of static, steady states. To address these challenges, we devise novel quantitative approaches to measure/manipulate signaling dynamics at biologically relevant time/length scales. This includes the development of multiplexed biosensor systems to image signaling dynamics at the single cell level, the development of optogenetic and microfluidic actuators to manipulate single cells with unprecedented spatio-temporal resolution, computer vision approaches to automate image analysis of large datasets, statistical analysis and mathematical modelling to make sense of the large datasets we produce. Our research provides new insights to target oncogenic signaling during cancer, as well as aberrant morphogenetic processes such as cell migration and invasion, and neuronal development and regeneration.