Sivateja Tangirala's research leverages integrative computational & statistical methods to perform biobank-scale analyses, aiming to navigate connections between the genome, exposome and human health and disease, with a particular focus on cardiometabolic disease and first author publications in Scientific Reports and Communications Medicine. Furthermore, Sivateja is passionate about tackling health disparities by extending such data-driven approaches into healthcare settings.
Sivateja holds a Master of Science (SM) in Biomedical Informatics from Harvard Medical School. He also graduated summa cum laude, phi beta kappa from Cornell University with a degree in Statistical Science and a concentration in Computational Biology.
Prioritization of COVID-19 risk factors in July 2020 and February 2021 in the UK.
Leveraging vibration of effects analysis for robust discovery in observational biomedical data science.
Authors: Tierney BT, Anderson E, Tan Y, Claypool K, Tangirala S, Kostic AD, Manrai AK, Patel CJ.
PLoS Biol
View full abstract on Pubmed
PLoS Biol
View full abstract on Pubmed
Integrated Analysis of Gene Expression Differences in Twins Discordant for Disease and Binary Phenotypes.