Bio
James Doss-Gollin is an Assistant Professor in the Department of Civil and Environmental Engineering at Rice University. His research integrates earth science, probabilistic methods, machine learning, and systems analysis to help communities and infrastructure systems manage evolving climate risks. Current projects include graph neural networks for flood emulation, flood resilience planning with rural Texas communities, and updated rainfall frequency estimates for the State of Texas. He leads the Cluster for AI for Climate Risk and Urban Resilience at the Ken Kennedy Institute and is a member of the Consortium for Enhancing Resilience and Catastrophe Modeling (CERCat). Before joining Rice, James was a postdoctoral researcher at Pennsylvania State University; he earned his PhD from Columbia University and his BS from Yale University.
Education
- Columbia University | New York, NY, USA
PhD in Earth and Environmental Engineering, 2020
MS in Earth and Environmental Engineering, 2016 - Yale University | New Haven, CT, USA
BS in Mechanical Engineering, 2015