Susanne Bornelöv

Principal Investigator

Cambridge, England, United Kingdom
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Summary

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Senior
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Top School
Susanne Bornelöv is a genomics and machine learning researcher who leads a computational team at Cambridge investigating genome regulation and the piRNA pathway, recently awarded an 8-year Wellcome Career Development Award. With eight years of post-PhD experience across Cambridge and Uppsala, she combines deep bioinformatics expertise with data-driven approaches to uncover hidden regulatory features such as codon usage. As Principal Investigator in the Department of Biochemistry, she bridges method development and biological discovery, fine-mapping how small RNA immune systems recognise transposable elements in germ cells. She maintains an active academic presence (sblab.uk, Google Scholar) and brings a rare blend of computational rigor and biological insight that translates complex genomic signals into testable mechanisms.
code8 years of coding experience
job9 years of employment as a software developer
bookSelected as exchange student to study Russian, Selected as exchange student to study Russian at Saint Petersburg State University
bookDoctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Uppsala University
languagesSwedish, English, Russian
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Github Skills (1)

hidden-markov-model7

Programming languages (2)

PerlPython

Github contributions (5)

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Hannon-lab/FlaHMM

May 2024 - Aug 2025

FlaHMM: unistrand flamenco-like piRNA cluster prediction in Drosophila species using hidden Markov models
Contributions:3 releases, 2 PRs, 2 pushes in 1 year 3 months
hidden-markov-model
susbo/trans-bsseq

Feb 2019 - Sep 2019

Contributions:10 commits, 9 pushes, 1 branch in 7 months
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