Nathan E. Wineinger, Ph.D. joined the faculty at STSI as an Assistant Professor and Director of Biostatistics in January 2014.
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 human diseases and complex traits. By developing and applying advanced quantitative methods beyond traditional strategies, he hopes to more accurately depict genetic and biological models thereby leading to new discoveries.
Nathan has applied such approaches across a wide variety of traits including cardiovascular-related phenotypes, obesity and insulin resistance, longevity, neuropsychiatric and autoimmune disorder, and pharmacogenetics.
His research interests center around the coalescence of big data sources to digitize human health – a function of both genomic and wireless sensor information. By incorporating predictive analytics, he hopes to leverage such vast amounts of information to improve disease prevention strategies and patient outcomes.
Nathan received his B.A. in Mathematics from Grinnell College in 2005; and his Ph.D. in Biostatistics from the University of Alabama at Birmingham in 2011. Prior to his promotion to the Assistant Professor position at STSI, he was a research scientist at the institute from 2011 to 2013.