James Kellner

James R. Kellner is a Professor of Ecology, Evolution, and Organismal Biology at Brown University, affiliated with the Institute at Brown for Environment and Society. His research focuses on quantifying ecological responses to environmental gradients and reducing uncertainties in the global carbon cycle through advanced remote sensing technologies. He leads the Kellner Lab, which develops machine learning and algorithmic approaches using high-resolution airborne/space-based remote sensing to study carbon dynamics, biodiversity, and ecosystem structure. Key projects include the NASA GEDI mission, where he serves as a co-Investigator, aiming to map global forest biomass via lidar.

His work is supported by NASA, NSF, USDA, and the Department of Defense. Notable contributions include GEDI biomass modeling, soil organic carbon quantification, and drone lidar applications. He collaborates extensively on interdisciplinary projects addressing climate change impacts and ecosystem resilience.

Education details are not explicitly provided in the text, but his academic role implies doctoral qualifications in ecological sciences. No awards are documented here, though his extensive grant funding underscores his research impact.

Advising activities and student mentorship are not detailed in the provided texts, though his lab website suggests a focus on training researchers in remote sensing and environmental data science. The Kellner Lab's technology portfolio includes innovative tools for spatial prediction and 3D environmental modeling.