My major research interest is using physical insights to develop intelligent models that can learn from large data sets.
At present, I am enrolling in the research project of “Next generation solid-state batteries” funded by the Faraday Institution, and working on the application of machine learning method in battery degradation. I'm also interested in the theoretical design of functional materials, such as high temperature superconductors and inorganic electrides, with the combination of machine learning and density functional theory methods.