Dr. Gao obtained her Ph.D degree in Chemistry from institute of chemistry, Chinese Academy of Science. His Ph.D research focused on multiscale modeling of morphology and properties of polymeric materials, polymer processing and unveiling the process–properties relationships. (atomic to coarse-grained scale) Dr. Gao joined PNNL in 2016. He is involved in multiscale modeling of simple and complex fluids, electrolyte, and developing data-driven methods as machine learning and deep learning on molecular property prediction and design. He has published more than 30 peer-reviewed journal papers.