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Gracie Ermi

Gracie Ermi is a machine learning scientist specializing in building machine learning & AI applications to support wildlife research and inform environmental policy. She uses aerial imagery, remote sensing, bioacoustics and more to study marine and terrestrial species, and monitor global land use and land cover. As one of the co-creators of the Conservation Tech Directory, she works to encourage more connection and communication across the conservation technology field. Gracie also prioritizes educating and inspiring the next generation of innovators, and as an AAAS IF/THEN Ambassador and an AGU Voices for Science Fellow, she has spoken to over 150 audiences around the world about the intersection of conservation and technology.

https://www.linkedin.com/in/gracieermi/

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