معرفی
Dr. Glen Satten is a Professor in the Department of Biostatistics and Bioinformatics at Emory University, with secondary appointments in the Departments of Human Genetics and Biostatistics and Bioinformatics. He is affiliated with the Division of Research in the Department of Gynecology and Obstetrics within the Emory University School of Medicine. His work focuses on developing statistical methods for analyzing microbiome, genetic, and epidemiologic data.
Education: Ph.D. in Biostatistics from Harvard University (1985), M.A. in Biostatistics from Harvard (1981), and B.A. from Oberlin College (1979).
Research interests include Genetic Epidemiology, Microbiome Research, Genomics, and the development of novel statistical methodologies for high-dimensional biological data. His contributions span computational tools for microbiome analysis (e.g., LDM and MIDASim), bias correction in compositional data, and improving statistical efficiency in genetic association studies. He has also contributed to studies on maternal health outcomes and HIV in pregnancy.
His recent publications highlight advancements in microbiome data analysis, including bias detection in mock communities and integrating multiple sequencing modalities. Collaborative work extends to public health surveillance and methodological improvements for case-control studies.
No scientific awards are explicitly listed in the provided materials. His research has been applied to clinical settings, such as optimizing embryo transfer protocols using national surveillance data. He advises on statistical methodologies but no student names are provided in the text.
Labs/Teams: While not explicitly named, his work suggests involvement in interdisciplinary teams focused on bioinformatics, genetic epidemiology, and clinical data analysis.
