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Yan Cheng is a postdoctoral researcher specializing in environmental science and computer science at the University of Copenhagen. He has a strong focus on applying deep learning techniques to decode Earth observations, such as satellite images, to better understand terrestrial ecosystems under the influence of changing climates. Yan's research interests particularly encompass physical climate risk assessment and nature-based solutions to combat climate change. He defended his PhD project funded by the Villum Foundation, centered on the DRYTIP project at the University of Copenhagen, and is projected to complete his studies by February 2025. Throughout his academic career, Yan has also served in various external roles, including as a remote sensing specialist and data analyst, further enhancing his multidisciplinary expertise.
University of Copenhagen • Copenhagen, Denmark
Conducting research in environmental science and computer science.
External Position •
World Resources Institute •
University of Twente •
Esri • Redlands, CA
Focuses on clinical, social, and cognitive psychology.