Jeremy Schwartzentruber
Summary
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SeniorJeremy Schwartzentruber is a staff scientist in Illumina’s Artificial Intelligence Lab with 11 years’ experience applying machine learning and large-scale computation to human genomics. He specializes in integrating GWAS, eQTL, epigenomic and single-cell datasets to prioritize causal variants and genes, work he advanced at Open Targets while at EMBL-EBI and the Wellcome Sanger Institute. His background spans hands-on software and pipeline development for sequencing analyses and CRISPR experiment interpretation, grounded in a PhD in human genomics and an earlier MSc in biophysics. Jeremy blends statistical genetics with production-ready ML models to refine trait and disease predictions using biobank-scale data, and is comfortable moving between research and engineering contexts. Based in Falmouth, UK, he often mines subtle signals from heterogeneous datasets to reveal cell-type specific regulatory effects that conventional analyses miss.
11 years of coding experience
Github Skills (9)
gitbook8
rna-seq6
genomics4
jack4
r-package4
bioinformatics3
sequencing3
yang3
r2
Programming languages (2)
Github contributions (5)
Jeremy37/AD_finemap
Jan 2020 - Oct 2020
Contributions:9 commits in 9 months
js29/ipsdsn
Aug 2017 - Oct 2017
Contributions:8 pushes, 1 branch in 1 month
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