Shivam Sharma
Atlanta, Georgia, United States
Summary
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SeniorShivam Sharma is a Bioinformatics Ph.D. candidate at Georgia Tech with a decade of experience applying statistical genetics, genetic epidemiology, and large-scale bioinformatics to diverse biobanks and clinical cohorts. He leads development of the "Genetic Ancestry Inference" workspace in the All of Us Research Program, inferring continuous ancestry for over 300k participants and building cloud-native Cromwell pipelines for association testing at biobank scale. His work spans local ancestry-aware GWAS, rare-variant burden testing across ancestries, and pharmacogenomic risk prediction from >40 million prescription records, highlighting clinically actionable signals tied to self-identified race and ethnicity. Shivam combines hands-on pipeline engineering (HAIL, Regenie, SAIGE, phasing/annotation) with machine learning for disparity analysis, and has experience harmonizing sequencing and array data across international clinical labs. He has a track record of improving real-world outcomes—from refining HLA ancestral groups for marrow donor matching to uncovering ancestry-enriched kidney function variants—demonstrating an uncommon blend of computational rigor and translational impact.
10 years of coding experience
Github Skills (5)
crud7
django6
admin5
python4
material-design3
Programming languages (2)
Github contributions (5)
ShivamSharma13/roads-of-biology
Jun 2018 - Apr 2019
Contributions:7 commits, 15 pushes, 1 branch in 10 months
ShivamSharma13/IGen-Webserver
Jan 2021 - Oct 2022
Contributions:3 pushes, 1 branch in 1 year 9 months
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