Kexin Song outdoors beneath a large tree, holding a camera

Kexin Song

Postdoctoral Associate · Yale School of the Environment

I study how ecosystems and societies respond to disturbance and global environmental change. My research combines Earth observation, field measurements, causal inference, and geospatial AI to make environmental change more observable, explainable, and actionable.

I am a Postdoctoral Associate in the SPIRES Lab at Yale, working with Dr. Luke C. Sanford. I earned my Ph.D. at the University of Connecticut under the guidance of Dr. Zhe Zhu in the GERS Lab.

News & upcoming events

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Upcoming · AAG 2027

Call for abstracts: causal inference in the geospatial context

I am co-organizing “Causal Inference in the Geospatial Context: Applications, Progress, and Challenges” with Chengbin Deng. We welcome contributions on geospatial methods and causal questions.

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Presenting land-system change research at AGU

I will present research on conflict- and displacement-driven landscape change in northern Rakhine State and Cox’s Bazar at the AGU Annual Meeting in San Francisco.

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Organized and moderated a Harvard CGA panel

“Who Writes the Map? AI, Authorship, and Publishing” explored generative AI’s role in authorship, peer review, and scholarly publishing.

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Nature Ecology & Evolution cover article

Our Amazon forest-resilience study was selected as the September issue cover article.

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Education

  • Ph.D. Natural Resources and the Environment, University of Connecticut, 2025
  • M.Sc. Meteorology and Physical Oceanography, University of Miami, 2020
  • B.Sc. Marine Technology, Ocean University of China, 2018