Professor of Materials Science and Engineering; Director of the Molecular Foundry; Director of the Materials Project
Kristin Persson is a materials scientist whose research focuses on data-driven materials design and understanding. She develops methods that incorporate machine-learning, experimental information and computational databases to predict material properties, understand and predict synthesis and characterization to accelerate innovation. Persson has pioneered the data-driven design of materials for batteries, photovoltaics, and catalysis, and more recently has advanced fundamental understanding of interfacial solid-liquid and solid-solid reactivity using machine-learning, reaction networks and kinetics in model amorphous interfaces. Her research has enabled the Materials Project, a global open-access resource for materials data, analysis and machine learning.
