Lecturer at University of Glasgow School of Computing Science
Glasgow, Scotland, United Kingdom
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Summary
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Jake Lever is a Lecturer at the University of Glasgow with 10 years of experience applying machine learning, high-performance computing and bioinformatics to biomedical text mining. He completed a PhD in Bioinformatics at UBC and followed with postdoctoral work at Stanford's Helix Group, bringing research-grade methods into deployable systems. His background spans FPGA acceleration, CUDA image-processing for connectomics, and production-focused text-mining pipelines built during a visiting stint at NCBI, highlighting a rare mix of low-level performance engineering and applied biomedical NLP. Based in Glasgow, he combines academic teaching and research with practical deployments for cluster and HPC environments, often optimizing for regular, scalable literature indexing. Colleagues would note his ability to translate complex computational approaches into tools that run reliably at scale.
10 years of coding experience
3 years of employment as a software developer
BEng 1st Class, Software Engineering, BEng 1st Class, Software Engineering at The University of Edinburgh
Doctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at The University of British Columbia
Contributions:3 releases, 108 commits, 55 pushes in 10 months
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Jake Lever - Lecturer at University of Glasgow School of Computing Science