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Spatiotemporal Representations for Geospatial AI models

Veevee’s research lies at the intersection of AI, robotics, and (mostly marine) ecology. His work at ESIIL uses multi-modal AI/ML methods to develop compact, general-purpose representations of global geospatial models. He is particularly interested in how these models can be leveraged by conservationists, ecologists, and scientists with limited access to computational resources to answer pressing questions about spatiotemporal phenomena.