Biography

Xuechun Li is a researcher working on rapid, scalable, and accurate assessment of earthquake-induced cascading hazards and damage. She is currently a Moore Foundation Postdoctoral Fellow at Johns Hopkins University. Her research develops causal AI frameworks that integrate multi-modal remote sensing, geospatial data, and geophysical models to capture complex, nonlinear, and cross-resolution dependencies in seismic hazard systems. Her work has supported rapid damage assessment for major events, including the 2023 Turkey–Syria earthquake. She is a recipient of the 2025 AGU Natural Hazards Section Award for Graduate Research, and her publications have been recognized with the Editor's Choice award from Earthquake Spectra and the 2024 Annual Cover Paper award from npj Natural Hazards. Her work bridges natural hazards and computer science, contributing to advances in cascading hazard modeling and post-disaster decision support.