The Yang Lab at Georgia Institute of Technology in the School of Chemical and Biomolecular Engineering works on sustainability challenges in energy storage by leveraging first-principles calculations, machine learning, and molecular dynamics, all grounded by electrochemical experiments. While we are primarily a computational group, we work closely with experimental data. In doing so, we push the frontiers of computation and machine learning by testing and advancing various methods to tackle challenging experimental problems.