Kathryn Berger

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Kathryn is a machine learning engineer at Development Seed. She is passionate about harnessing geospatial data to solve the challenges of global health and food security. Kathryn believes in making machine learning tools, data, and resources more accessible for social good through open data and open science.

Kathryn joins us from Agrimetrics, where she led their data science team, providing models and advanced analytics to businesses, researchers, and policymakers to address global food challenges. She worked on the development of an in-season agricultural crop classification product for large geographic areas, using synthetic aperture radar (SAR) satellite data.

Kathryn holds a BSc in Microbiology from the University of Massachusetts-Amherst, a MSc in Natural Resources from the University of New Hampshire, and a PhD in Environmental Science from the University of Rhode Island - where she worked on the development of Lyme disease risk models based on microclimatic indices.

When not working with geospatial data, Kathryn enjoys hiking and exploring the Scottish outdoors.

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