Data Science

StorageX leverages Stanford's world-leading Computer Science faculty to bring cutting-edge data science approaches into energy storage research and development. Faculty use machine learning methods to predict promising new materials and develop optimal experimental design algorithms that accelerate development and testing of new materials and concepts.

Faculty

William Chueh

Director, Precourt Institute for Energy, Professor of Materials Science and Engineering, of Energy Science and Engineering, and Senior Fellow at the Precourt Institute for Energy
Simona Onori

Associate Professor of Energy Science Engineering, Senior Fellow at the Precourt Institute for Energy and Associate Professor, by courtesy, of Electrical Engineering