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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Envisioning Carlsbad


Viewshed preservation study of Carlsbad Caverns, utilizing groundbreaking LiDAR dataset of the cave system. Methods combined visual analysis of the LiDAR images with hand mapping inspired by Kevin Lynch and computer vision-based light tracking to illuminate the visual effects of the cave’s designed trail system and theatrical lighting. Argues that both the cave itself and the designed perception of the cave are worthy of preservation. 

Talk and Article, Texas Cultural Landscapes Symposium 2020

Skills:
Computer Vision
Hand-drawing and -mapping
Creative research
Graphic design

2019