Nathan E. Wineinger, Ph.D., a research scientist at Scripps Genomic Medicine discusses how mhealth data is moving towards big data at a rapid pace at the recent BigData@UCSD workshop last month.
Mobile health (mHealth) technologies allow for the generation of intensive care unit medical information, literally, in the palm of your hand. A smart phone can be transformed into a mobile heart monitor to diagnose atrial fibrillation, and continuous glucose monitoring has revolutionized the way diabetics manage their blood sugar levels. The digitization of human health through noninvasive devices and sensors can provide meaningful measures of individual wellness outside of a clinical environment.
About Nathan Wineinger, Ph.D.
Nathan E. Wineinger, Ph.D., is a research scientist at Scripps Genomic Medicine within Scripps Health. He joined STSI in the fall of 2011.
His expertise is in statistical approaches to human genetics and genomics research – particularly in the application and development of quantitative methods for identifying the etiology of common, complex disease.
Nathan’s interests include multi-locus and whole-genome statistical methods to predict complex disease, imputation, and copy number variation. Recently, he has applied these approaches to obesity and insulin resistance, echocardiographic traits, longevity, neuroimaging, and pharmacogenetics.
