Assistant Professor
Fan Bu's global health work involves developing statistical and data science methods to analyze complex, multi-modality data, aiming to identify and address significant health inequities. Her interests in global health equity align with the Center's themes of strengthening systems for health and developing technical solutions. Bu's research focuses on privacy-preserving federated learning methods for data analytics, which uphold data security policies, particularly for data collected in low- and middle-income countries.
