Sivateja Tangirala

Sivateja Tangirala, SM

Associate in Biomedical Informatics

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.
Authors: Tangirala S, Tierney BT, Patel CJ.
Commun Med (Lond)
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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
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Integrated Analysis of Gene Expression Differences in Twins Discordant for Disease and Binary Phenotypes.
Authors: Tangirala S, Patel CJ.
Sci Rep
View full abstract on Pubmed