Max Goodman is a Remote Sensing Scientist focused on impact analysis and insurance mechanisms in flood mapping. Max’s work supports machine learning advances by wrangling RS and ground-truth datasets, providing real-world context to apparent trends, and serving as a critical eye to early results. He is interested in how imperfect data can be used systematically to inform robust resilience decisions (and climate action).
Max is an alumnus of Columbia University’s Earth Institute, where he graduated with a BA in Sustainable Development focused on GIS and sustainability management. Max was a member of Project Drawdown’s inaugural cohort of undergraduate scholars, where he used remote sensing to demonstrate tradeoffs between albedo-based warming and carbon-based cooling in high-latitude afforestation.
In his climate journey outside of Cloud to Street, Max serves as a policy/research contributor to NYC’s DSA working group on Ecosocialism, and authored an op-ed on Why We Need Climate Stoicism to Overcome Climate Despair.