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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TABULA RASA


Undergraduate thesis in Computing and the Arts (Architecture). Explores the “tabula rasa” in computer science and urbanism, questioning the emptiness it describes in landscape through an exploration of its origins in terms of intelligence. Written and illustrated research project based on funded site visits to Hiroshima, Japan and Valdivia, Chile, as well as experiments with an Autoencoder (deep learning) network.

Skills:
Machine Learning
Historical research
Field research
Writing (academic)
Writing (creative)

Project advised by Profs. Anthony Acciavatti (Yale Architecture) and Marynel Vazquez (Yale Computer Science) 2020