معرفی
Sang Mee Lee is a Researcher in the Department of Biostatistics at the University of Chicago, contributing to interdisciplinary research in statistical genetics and applied biostatistics. She holds a Ph.D. in Biostatistics from the University of Minnesota (2011), an M.S. and B.S. in Statistics from Ewha Womans University, Korea (2006 and 2001 respectively).
Her research focuses on gene expression data analysis, diabetes translation research targeting vulnerable populations, and cancer studies involving hematologic malignancies. She pioneered a likelihood-based approach for Gene Set Enrichment Analysis (GSEA) using finite mixture models and is the principal biostatistician at the Chicago Center for Diabetes Translation Research, aiming to reduce health disparities through evidence-based interventions.
Her work integrates statistical methodologies with clinical outcomes, emphasizing structural approaches in donor selection for hematopoietic cell transplantation and leveraging mobile health technologies to improve diabetes care. Key collaborations include studies on second malignancies in neuroblastoma patients and healthcare utilization patterns in federally funded health centers.
Lee’s publications span oncology, diabetes care, pulmonary biology, and healthcare policy, reflecting her commitment to bridging statistical rigor with real-world health challenges.
