معرفی
Dr. Lauren E. Gillespie is an Assistant Professor in the Department of Geospatial Data Sciences at the University of Michigan, specializing in AI-integrated approaches for large-scale ecosystem monitoring. With a background in computer science and biology, her research focuses on developing foundation models to analyze noisy environmental data from remote sensing and citizen science platforms, aiming to enhance ecological forecasting under rapid climate change.
- PhD: Computer Science, Stanford University
- BS: Computer Science & Chemistry, Southwestern University
Her work bridges machine learning, global ecology, and remote sensing, with recent publications on biodiversity mapping using deep learning, domain adaptation in citizen science datasets, and genetic diversity loss in the Anthropocene. She actively explores ethical frameworks for scalable environmental AI applications.
Key scientific awards include the Best Paper Award at AAAI 2025, Fulbright Program support (2024), and NSF Graduate Research Fellowship (2019). Her projects have received grants such as the Climate Change AI Innovation Grant for ForestBench (2022) and the Ethics, Society and Technology Hub grant for Scenes from the Anthropocene (2022).
