Judith Bernett
Assoziierte R Forscher In at Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolJudith Bernett is an associate R researcher and biomedical data scientist based in Munich with eight years of experience applying computational methods to protein–protein interaction prediction and drug response modeling. She brings a strong academic foundation from TUM and LMU, including PhD work on proteomics-driven drug response prediction (DROP2AI) and current research on context-aware, bias-reduced PPI networks at BIONETS. Judith combines rigorous experimental bioinformatics practice with software-quality instincts—evidenced by contributions to Biopython’s testing infrastructure to improve Cellosaurus coverage and maintainability. Her skill set spans statistical R analysis, proteomics data interpretation, and test automation, enabling reproducible research pipelines that bridge wet-lab data and machine learning. Colleagues value her for meticulous test-driven approaches to biological questions and a knack for reducing bias in network-based models. She is driven by translating complex biomedical data into reliable, interpretable predictions that can inform drug discovery.
8 years of coding experience
ERASMUS Exchange, ERASMUS Exchange at Københavns Universitet - University of CopenhagenMaster of Science - MS, Bioinformatik, Master of Science - MS, Bioinformatik at Technical University of MunichMaster of Science - MS, Bioinformatik, Master of Science - MS, Bioinformatik at Ludwig-Maximilians-Universität MünchenAbitur, Abitur at Nymphenburger Gymnasium
English, French, Danish, Latin, Italian
Github Skills (11)
unit-testing10
bioinformatics10
biopython10
unit-test10
python10
testing10
genomics4
excel-dna4
proteins4
phylogenetics4
sequence-alignment4
Programming languages (9)
Github contributions (5)
biopython/biopython
Feb 2024 - Feb 2024
Official git repository for Biopython (originally converted from CVS)
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:1 review, 1 PR, 5 comments in 1 day
Contributions summary:Judith primarily focused on improving the testing infrastructure for the Biopython library. Their contributions involved updating existing test cases, particularly related to the Cellosaurus module, by incorporating the latest data and extending test coverage. They also applied code formatting to improve readability, demonstrating a focus on code quality and maintainability within the test suite.
git-repositoryphylogeneticspythondnagenomics
bionetslab/robust
Jul 2021 - Nov 2021
Contributions:12 commits, 2 pushes in 4 months
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