Ms. Song is a highly skilled data scientist and programmer with extensive expertise in statistical programming, machine learning, and data visualization. She excels at providing valuable insights to federal agencies and public enterprises by utilizing advanced analytics techniques and leading teams of analysts in the implementation of cutting-edge technologies. Currently, at CMS, she spearheads three major initiatives: 1) developing an internal analytics platform that integrates and analyzes Medicare, Medicaid, and Marketplace data, offering interactive dashboards for non-technical users and curated datasets for analysts; 2) evaluating Medicare Advantage prior authorization algorithms to identify potential bias and recommend algorithmic improvements; and 3) pioneering a unique claims-based measure to assess functional limitations in the Medicare Fee-for-Service population.