Institute of the Environment and Sustainability
La Kretz Hall, Suite 300
Los Angeles, CA 90095
Using remote sensing and machine learning to study compounding impacts of wildfire smoke and heat in cities
Noam Rosenthal is a fourth-year doctoral student interested in the intersection of land use and climate-risk. He specifically focuses on the compounding impacts of wildfire smoke and heat in cities, using remote sensing and machine learning. He holds a B.S. in Civil and Environmental Engineering and M.S. in Earth Systems from Stanford University. Prior to matriculating at UCLA, Noam worked for the Google venture Premise Data, an international data-sourcing company. Most recently he worked with the Natural Resources Defense Council on a study to catalyze private investment in adaptation infrastructure. In his spare time he enjoys singing, hiking and flâneuring city streets.