Hye-Chung Kum is associate professor in the Department of Health Policy and Management at Texas A&M University and adjunct associate professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. She is a first-generation data scientist cross-trained both in computer science and policy & management. Her research focuses on how the abundance of existing digital data, such as government administrative data and electronic health records, can support accurate evidence-based, timely decisions for research, policy, management and evaluation while protecting the confidentiality of individual subjects of the data. In particular, she focuses on methods to build efficient and effective human computer hybrid processes and systems to clean, integrate, and extract actionable information from raw chaotic data and deliver the information in a timely secure manner to decision makers such as researchers, policy makers, clinicians and patients. Such an approach enables replicable research and valid evidence using chaotic big data. She has published in population informatics, policy analysis, big data use, information generation processes, secure data access, privacy preserving interactive data integration, and sequential pattern mining. Her work has been funded by North Carolina Department of Health and Human Services, Texas Health and Human Services Commission, Robert Wood Johnson Foundation, the National Science Foundation, Patient-Centered Outcomes Research Institute and the U.S. Department of Agriculture.
Ph.D., The University of North Carolina at Chapel Hill
M.S.W., The University of North Carolina at Chapel Hill
M.S., The University of North Carolina at Chapel Hill
B.S., Yonsei University, Seoul, Korea