Our research investigates robustness, tradeoffs and feedback in complex, highly connected systems, and develops computational multiscale models to capture important small-scale interactions and predict large-scale behavior. Our work combines identification of fundamental mathematical and physical principles underlying complexity and high variability with development of mechanistic models and data driven techniques to address multidisciplinary research challenges. These include dynamics of earthquake faults, wildfire propagation and disaster response, biomaterials, infectious disease, network neuroscience, evacuation, and group decision making under stress.