Arizona State University expert directory


Hannah Kerner leads research projects in remote sensing, algorithmic bias, and machine learning theory. 

She is the artificial intelligence/machine learning lead for the NASA Harvest and NASA Acres programs to deploy applications that optimize agricultural planning, disaster response, and financial relief around the world. Kerner also writes and speaks about challenges in developing AI/ML applications for global problems, and she was selected for the Forbes 30 Under 30 list for science in 2021. Kerner completed her Ph.D. at ASU on machine learning methods (especially novelty detection) for planetary exploration missions. She received her B.S. in computer science from the University of North Carolina at Chapel Hill, where she conducted research on 3D motion planning for autonomous agents. Kerner is passionate about advancing opportunities for people underrepresented in or excluded from computer science and devotes much of her time outside of research to these efforts.

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In the news

We collect enormous amounts of data from sources including orbiting satellites and ocean sensors. We capture hundreds of terabytes every day and we have done so for decades. But now we can take these measurements and process them with AI to give us actionable information. We can enable decisions that yield real-world solutions,

Hannah Kerner ASU News

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