Kathryn Longobardi is a former Research Associate at the Center for Global Energy Policy, with a focus on reducing the risk and impact of climate change through decarbonization, climate modeling, carbon dioxide recycling and removal, and evolving technologies to assess climate policy and global markets.
Kathryn has worked on applications of machine learning and artificial intelligence to satellite data, and methods of leveraging geospatial technology to analyze climate change, at NASA Goddard. Her research is focused on change detection algorithms in electro-optical imagery, polarimetric signatures, and the use of computational modeling to simulate the thermodynamics of climate change.
Kathryn holds degrees in Engineering and Physics, and was a NSF grant recipient at the Columbia School of Engineering. She has been a teaching assistant and research associate in the Applied Mathematics and Physics departments at the Naval Postgraduate School, and holds a certificate in Joint Humanitarian Operations from USAID Foreign Disaster Assistance.
Kathryn has taught environmental science on the Atlantic and Pacific Oceans, and is a graduate of Yale University and Columbia School of Engineering.
