Joseph Kirangwa is a postdoctoral bioinformatician based in Cologne with nine years’ experience applying genomics, epigenomics and machine learning to decode molecular mechanisms in parasites and other organisms. His work spans hands-on NGS lab techniques and end-to-end computational workflows, from genome assembly and annotation to ML models that predict regions susceptible to epigenetic modification. Trained across institutions in Europe and Africa, he blends wet-lab rigor (DNA/RNA sequencing, LIMS/ELN practice) with advanced comparative genomics and pipeline development. At Oxford he now focuses on epigenetic regulation in human parasitic nematodes, building on a PhD in evolutionary genomics and prior roles at Karolinska and Cologne. Colleagues describe him as a pragmatic scientist who bridges experimental and computational worlds, often finding insights in high-throughput noise that others overlook.
9 years of coding experience
2 years of employment as a software developer
Uganda Martyrs' Secondary School Namugongo
University of Skövde
MSc, Thesis, MSc, Thesis at Karolinska institutet
Biomedical Laboratory Technology, Biological science, Biomedical Laboratory Technology, Biological science at Makerere University
Course, Molecular Genetics, Course, Molecular Genetics at Stockholms universitet
Methods and Concepts in Molecular Life Sciences, Molecular Biology, Methods and Concepts in Molecular Life Sciences, Molecular Biology at Stockholm University
University of Cologne
Training, Next Generation Sequencing of HIV-1 at Africa Centre for Health and Population Studies, South Africa, Training, Next Generation Sequencing of HIV-1 at Africa Centre for Health and Population Studies, South Africa at University of KwaZulu-Natal
MSc, Bioinformatics, MSc, Bioinformatics at Högskolan i Skövde
Contributions:4 PRs, 6 pushes, 2 branches in 1 day
python-codepython
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