Our Research
The Climate Risk & Extremes Dynamics Lab integrates climate science, physics, engineering, and machine learning to advance the understanding—and mitigation—of risks posed by extreme weather and compound, cascading hazards in a warming climate system. We develop and integrate high-resolution simulations, physics-informed numerical models, and data-driven machine learning approaches to study tropical cyclones and their multiscale hydrodynamic hazards—storm surge, extreme rainfall, and compound flooding—while quantifying physical drivers, spatiotemporal dynamics, and systemic impacts on coastal cities and communities. Our research prioritizes rigorous process modeling, uncertainty quantification, and probabilistic risk assessment to support early warning systems, climate adaptation strategies, and the design of resilient, future-ready infrastructure through integrated engineered and nature-based solutions.