Our goal is to understand how human pluripotent stem cells generate and interpret the chemical and physical signals that allow them to self-organize into spatial structures consisting of multiple cell types in vitro — and, by extension to the embryo, in vivo. By combining quantitative live-cell measurements and engineering tools such as micropatterning with predictive mathematical models, we can answer currently intractable questions in developmental and stem cell biology.