We combine statistical and computational methods to study the dynamics of hydroclimatic risk in various built and natural environments, which are often interconnected and coupled systems. 

We, for example, analyze emergent systemic risk when natural environmental networks, such as river corridors, intersect with urban networks, such as transportation corridors, and discern how stressors like mesoscale rainfall fields and flooded geographies affect the behavior of such risk. Our research lies at the collaborative intersection of engineering, earth sciences, applied mathematics, and systems thinking. 

The aim of our work is to:

1. generate insights about coupled hydrologic systems dynamics, 

2. understand systemic hydroclimatic risk, 

3. enable more reliable decision-making under uncertainty, 

4. and contribute to system resilience.