Minho Kim
I am a postdoctoral scholar in the Stanford Urban Resilience Initiative, advised by Professor Jack Baker.
My research combines computational modeling and geospatial data science to model natural hazard risk, which inform build decision support tools that guide more proactive, risk-informed approaches. During my PhD, I focused on wildfires and used fire spread simulations, remote sensing, and network science within a
I received my PhD in Environmental Planning at UC Berkeley advised by Professors Marta C. Gonzalez and John Radke as a member of the HumNet Lab.
I received my BS and MS degrees in Civil and Environmental Engineering at Seoul National University, where I was advised by Professor Yongil Kim as a member of the SPINS Lab.
In an era of climate extremes, how do we predict, map, model, and manage natural hazard risk on humans and our environment towards a more sustainable and resilient future ?
Computational Modeling
Fire spread simulations and network models that measure and characterize how wildfire risk propagates across landscapes and communities.
Geospatial Data Science
Remote sensing and machine learning that build high-resolution datasets to mitigate risk through proactive, data-driven strategies.
Decision Support
A systems-based approach that turns models and data into actionable tools for planning and policy.