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Statistical Genetics/Genomics, Spatial Statistics and Modeling

YSPH researchers are at the cutting edge of developing statistical methodology to address challenging issues in public health, biology and medicine. A few notable areas that have driven methodology research include multi-omics data (e.g. genetics, genomics, proteomics and metabolomics), spatial data (e.g. infectious disease and GIS data), network analysis, among others. Yale is also at the forefront of public health modeling, providing policy makers and care delivery organizations data driven risk scenarios from which to make decisions.

Faculty of Interest