Research at the SWIM lab focuses on multi-scale modeling and optimization of urban water infrastructure systems. We develop and integrate various computational methods, including reactive-transport modeling, data-driven modeling and machine-learning, mathematical optimization, and first-principles calculations, and apply them to understand the behavior of water systems and support their safety, security, and resilience.