Summary
Josephine Daub is a data-driven bioinformatician and systems biologist with 10+ years of experience decoding genetic interactions across evolutionary and cancer genomics. She combines rigorous statistical method development in R and Python with hands-on pipeline engineering to analyze large NGS datasets and detect selection and interaction signals. Her career spans academia, hospital research, and teaching—most recently lecturing in bioinformatics and data science—so she bridges theory, wet-lab collaboration, and practical student mentorship. She has led interdisciplinary projects at top institutes, translating computational findings into experimental follow-ups in pediatric oncology and evolutionary studies. After a deliberate sabbatical for personal growth, she is recharged and open to new challenges from January 2025. A mathematician by training who began as a software developer, she brings uncommon depth in both algorithmic thinking and real-world software implementation.
10 years of coding experience
13 years of employment as a software developer
Bachelor, Mathematics, Bachelor, Mathematics at Pedagogische Technische Hogeschool
Master, Computational Science, Bioinformatics, cum laude, Master, Computational Science, Bioinformatics, cum laude at University of Amsterdam
OBS De Sieppe
Propedeuse, Architecture, Propedeuse, Architecture at Eindhoven University of Technology
High School, High School at Nijmeegse Scholengemeenschap
Doctor of Philosophy (Ph.D.), Ecology and Evolutionary Biology, summa cum laude, Doctor of Philosophy (Ph.D.), Ecology and Evolutionary Biology, summa cum laude at University of Bern (Official)
Dutch, English, Spanish, German, French