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 Policy and 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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Bog Studies


Dual Environmental Planning and Computer Science thesis project investigating the remote sensing opportunities and cost-benefit factors influencing adoption of emerging UK peatland conservation policy in Northern Ireland. Combines deep learning experiments on bog feature detection with policy analysis of private carbon markets as incentives for regenerative land management.

Field work in Northern Ireland supported by Morningside Academy for Design and MIT Loyd and Nadine Rodwin Grant.

Skills:
Deep learning
Geospatial data processing
Policy analysis
Archival research
Stakeholder engagement
September 2025 - May 2026