Our infrastructure was designed for a world that no longer exists. Today, these systems face converging pressures from climate extremes, aging assets, and demographic shifts.
We develop probabilistic and machine learning models to understand how rainfall and compound flood drivers are changing, how those changes create risk for critical urban infrastructure, and how to make robust decisions despite deep uncertainty. Our work spans Bayesian statistical modeling, AI-accelerated flood emulation, and adaptive decision frameworks, always motivated by helping communities understand and manage these risks.
Dr. James Doss-Gollin is an Assistant Professor in the Department of Civil and Environmental Engineering at Rice University.
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