Virginia C. and Joseph C. Mello Professor
Dr. Serban's research interests on Health Analytics span various dimensions including large-scale data representation with a focus on processing patient-level health information into data features dictated by various considerations, such as data-generation process and data sparsity; machine learning and statistical modeling to acquire knowledge from a compilation of health-related datasets with a focus on geographic and temporal variations; and integration of statistical estIMaTes into informed decision making in healthcare delivery and into managing the complexity of the healthcare system.
Georgia Institute of Technology
Statistics; Data Mining; Health Analytics; Health Systems; Enterprise Transformation
Research Affiliations: Center for Pediatric Innovation (CPI)