Dr. Yili Yang focuses on solving geoscientific challenges using state-of-the-art data science, especially deep learning and computer vision. Dr. Yang is particularly interested in satellite image processing, object detection, and semantic segmentation. He is now working on using deep neural networks to map retrogressive thaw slumps in northern Siberia. It is a crucial step in modeling carbon emissions due to permafrost thawing.
Projects

Permafrost Pathways
Connecting science, people, and policy for Arctic justice and global climate.