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.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, 4.0, Bachelor of Science (B.Sc.), Computer Science, 4.0 at University of Victoria
Doctor of Philosophy - PhD, Human genomics, Doctor of Philosophy - PhD, Human genomics at University of Cambridge (Wellcome Sanger Institute)
Undergraduate studies, Biology and Chemistry, 4.0, Undergraduate studies, Biology and Chemistry, 4.0 at McGill University
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Jeremy Schwartzentruber - Staff Scientist, Artificial Intelligence Lab at Illumina