Sang-ri Yi is an Assistant Professor in the Department of Civil and Environmental Engineering at Rice University. Her research contributes to building resilient urban infrastructure by developing new computational methods for uncertainty quantification (UQ) tailored for complex, large-scale, multi-hazard simulation models, advancing both state-of-the-art UQ methodologies and applied practices. By integrating application-driven algorithmic innovations with high-performance computing, she aims to develop computational UQ approaches tackling contemporary challenges in the modern natural hazards risk and resilience assessment paradigms. Her research areas include stochastic and deterministic surrogate modeling, regional risk and resilience assessment, and random process and field analysis.

Before joining Rice, she was an Assistant Project Scientist at the University of California, Berkeley, and a senior software developer at the NHERI SimCenter. She led the development of the uncertainty quantification (UQ) capabilities in SimCenter’s natural hazard modeling and simulation software applications.