Barbara De Kegel

Computational Scientist II

United States
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Summary

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Senior
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Top School
Barbara De Kegel is a computational scientist and software engineer with 10 years of experience bridging low-level C++ systems, real-time graphics/physics, and computational biology. Currently at the Broad Institute after earlier engineering work at Havok/Microsoft, she combines production-grade systems skills with a PhD in Bioinformatics that produced publications in PLoS Genetics and Cell Systems. Her work spans intelligent algorithms for high-performance simulation and genomic-scale analyses, reflecting a rare mix of game-engine rigor and quantitative biology. Known for exploring paralog buffering in cancer, she brings hypothesis-driven research habits to engineering problems and a record of shipping robust, low-latency code.
code10 years of coding experience
job2 years of employment as a software developer
bookInternational Baccalaureate, 39 points, International Baccalaureate, 39 points at American School of Warsaw
bookMaster’s Degree, Computer Science (Interactive Entertainment Technology), Distinction, Master’s Degree, Computer Science (Interactive Entertainment Technology), Distinction at Trinity College Dublin
bookInternational School of Prague
bookDoctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at University College Dublin
languagesEnglish, Dutch
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Github Skills (9)

bioinformatics9
prediction8
bioconda7
genomics7
synthetic7
conda7
package-management6
infer1
gene-expression1

Programming languages (4)

ShellRJupyter NotebookPython

Github contributions (5)

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Code for prediction of synthetic lethality between paralog pairs
Contributions:1 release, 41 commits, 34 pushes in 1 year 5 months
predictiondataminingsyntheticgraphneuralnetworkpairs
Code for prediction of synthetic lethality between paralog pairs
Contributions:2 PRs, 9 pushes in 1 year 5 months
pairspredictionsynthetic
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Barbara De Kegel - Computational Scientist II