Vivian Monzon
Bioinformatician
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolVivian Monzon is a bioinformatician with eight years of experience applying computational methods to infection biology, currently pursuing a PhD in Bioinformatics at the University of Cambridge while working at Abcam. She has a strong track record at EMBL-EBI where she developed profile-HMM and machine learning pipelines to discover and classify thousands of bacterial fibrillar adhesins and adhesive domains, and explored AlphaFold’s behavior on atypical sequences. Her work bridges sequence- and structure-based approaches, including a structural matching method that revealed novel homologous protein pairs and practical insights into pLDDT trends. Vivian combines software development (test-driven tools like gffpandas) with large-scale data analysis, making her comfortable with both reproducible code and biological interpretation. She has international research experience across Europe and Latin America, including a targeted secondment on plant-associated bacterial adhesins. Colleagues describe her as curious and methodical, equally at ease prototyping new algorithms and validating their biological relevance.
8 years of coding experience
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at University of CambridgeMaster's degree, Master's degree at The Julius Maximilians University of WürzburgBachelor's degree, Bachelor's degree at Johannes Gutenberg University Mainz
German, English, Spanish, French
Github Skills (3)
pandas-dataframe9
python2
pypi1
Programming languages (1)
Github contributions (5)
foerstner-lab/gffpandas
Feb 2018 - Nov 2019
Parse GFF3 into Pandas dataframes
Contributions:156 commits, 62 pushes, 14 tags in 1 year 9 months
pandas-dataframe
VivianMonzon/Reciprocal_Best_Structure_Hits
May 2022 - Sep 2022
Contributions:22 commits, 12 pushes in 3 months
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