Claire
Gorman
Hanly



Claire Gorman Hanly is an American computer scientist and environmental designer. Her research and practice focus on the implementation of deep learning-based computer vision methods in built and natural environments, with applications in regenerative agriculture, remote sensing of hydrology, and cultural landscape preservation. 

Claire’s work ranges geographically across glaciers and caves, river deltas and grain supply-sheds, Arctic wilderness and subtropical cities. It ranges methodologically across scientific research, creative curation, and speculative tool-building. She has collaborated with technology companies, research labs, and the US National Park Service as well as her most recent role in co-curating the 19th International Architecture Exhibition at La Biennale di Venezia.

Claire is currently pursuing two Master’s degrees at MIT: an MCP in Environmental Planning, and an MS in Computer Science. Her Bachelor’s degree is in Computer Science and Architecture, from Yale University.


clairego@mit.edu
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Soil Carbon and the Future of Computing


Essay awarded an Honorable Mention in the inaugural Future of Computing Essay Contest by MIT’s Schwartzman College of Computing. Advocates a greener future for the field of AI, in which Large Language Models are intertwined with carbon models and Earth observation data to foster ease and inclusion in sustainable land management.

essay link

image: Google Satellite image of agricultural land in California

Skills:
Writing (public audience)
Research
Winter 2023