Hannah Kerner

2025 Early Career Fellow

Hannah Kerner is an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University. Her research focuses on advancing the foundations and applications of machine learning to foster a more sustainable, responsible, and fair future for all. Her lab’s research topics include machine learning for remote sensing, algorithmic bias, and machine learning theory. She translates research advances to real-world impact through her roles as the AI/Machine Learning Lead for NASA Harvest and NASA Acres, Center Faculty for the ASU Center for Global Discovery and Conservation Science (GDCS), and Research Director for Taylor Geospatial. She has been recognized by multiple prestigious research awards including NSF CAREER (2025), Schmidt Sciences AI2050 Early Career Fellowship (2025), and Forbes 30 Under 30 in Science (2021).

AI2050 Project

Kerner’s project develops new AI methods that help decision-makers use satellite data to measure and monitor applications and indicators of sustainable development—without needing AI expertise. Instead of having to implement custom AI workflows for each use case, users can describe their objective in plain language, and the AI will generate custom maps to support decisions in areas like farming, climate, and conservation. Users can also provide feedback to improve the model’s outputs. By making this technology more accessible and accountable to users, the project aims to empower communities around the world to tackle urgent sustainability challenges using Earth observation data.

Affiliation

Assistant Professor, Arizona State University

Hard Problem

Great Opportunities