Summary
Noemi Vergopolan is a computational hydrologist, engineer, and scientist applying AI, high-resolution modeling, and remote sensing to water resources challenges. Based in Houston, she is an Assistant Professor at Rice University with nine years of research experience across academia and government labs. At NOAA, she led the first satellite land data assimilation system for the GFDL land surface model, enabling AI-assisted integration of in-situ and satellite observations of soil moisture and vegetation biomass. Her work at Princeton united high-resolution hydrological modeling, satellite remote sensing, and machine learning to assess human impacts on droughts, floods, and the water–energy–food nexus. She earned a PhD in Environmental and Water Resources Engineering from Princeton and a BS in Civil and Environmental Engineering from NC State, with international study at Oxford. Her cross-disciplinary background translates complex environmental data into actionable insights for water resources management.
9 years of coding experience
12 years of employment as a software developer
B.S, Civil and Environmental Engineering, B.S, Civil and Environmental Engineering at North Carolina State University
Oxford’s Smith School of Enterprise and the Environment Summer Program, Oxford’s Smith School of Enterprise and the Environment Summer Program at University of Oxford
Bachelor's Degree, Environmental Engineering, Bachelor's Degree, Environmental Engineering at Universidade Federal do Paraná
Doctor of Philosophy (Ph.D.), Environmental and Water Resources Engineering, Doctor of Philosophy (Ph.D.), Environmental and Water Resources Engineering at Princeton University
Spanish, Portuguese, English