My research is centered at the intersection of civil engineering, computational science, and artificial intelligence. I focus on developing and applying novel uncertainty quantification (UQ) and machine learning methodologies to better understand and mitigate risks associated with natural hazards. My work is highly interdisciplinary, with key application areas in: Natural hazard modeling: Simulating tropical cyclone evolution and predicting peak storm surge with high fidelity. Infrastructure resilience: Assessing the dynamic response and reliability of structures like offshore wind turbines under extreme environmental loads. AI for Science & urban computing: AI for scientific discovery and developing smart sensing and data analytics solutions for infrastructure health monitoring, such as automated defect detection on building facades.