Claire Gorman Hanly is visualizing peatlands: the most efficient ecologies for terrestrial carbon sequestration on earth. Her technical and curatorial project will study and produce the computational images—satellite photographs, data visualizations, maps, archival imagery, and art—that describe these landscapes, designing computer vision integrations for traditional modes of peatland stewardship.
Claire Gorman Hanly is a 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, and cultural landscape preservation. Her work ranges geographically across glaciers and caves, river deltas and grain supply-sheds, Arctic wilderness and subtropical cities as it explores the computational signatures of constructed nature.
Claire has collaborated with technology companies, research labs, and the US National Park Service. Most recently, she has served as the Principal Curatorial Assistant to Prof. Carlo Ratti for the 19th International Exhibition at La Biennale di Venezia, leading the selection and production of more than 300 projects for the largest to-date exhibition of its kind.
At MIT, Claire is pursuing dual Masters degrees in Computer Science and Environmental Planning. Before starting her graduate studies, Claire held a research position at the MIT Senseable City Lab. Her undergraduate degree is in Computing and the Arts, from Yale University.