Jeremy Schwartzentruber

Staff Scientist, Artificial Intelligence Lab at Illumina

Falmouth, England, United Kingdom
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Summary

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Jeremy 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.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science (B.Sc.), Computer Science, 4.0, Bachelor of Science (B.Sc.), Computer Science, 4.0 at University of Victoria
bookDoctor of Philosophy - PhD, Human genomics, Doctor of Philosophy - PhD, Human genomics at University of Cambridge (Wellcome Sanger Institute)
bookUndergraduate studies, Biology and Chemistry, 4.0, Undergraduate studies, Biology and Chemistry, 4.0 at McGill University
languagesFrench, Dutch
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Stackoverflow

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Github Skills (9)

gitbook7
rna-seq6
genomics4
r-package4
bioinformatics3
sequencing3
yang3
jack3
coverage3

Programming languages (1)

R

Github contributions (5)

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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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Jeremy Schwartzentruber - Staff Scientist, Artificial Intelligence Lab at Illumina