Summary
Jonathan Kidner is a Senior Data Scientist based in Wageningen with a PhD in Biology and five years of professional experience translating ecological and genetic research into robust computational tools. He began in ecology and pivoted to bioinformatics, building OOP software and analysis pipelines in C++, Java, Python, Perl and Bash for projects spanning host–parasite dynamics to viral evolution in honeybees. Jonathan blends rigorous academic training with practical engineering at Material Mind and prior scientific roles, often implementing mathematical models and simulations alongside bioinformatic workflows. Comfortable moving between research questions and production-ready code, he brings a unique perspective that tightens the loop between biological insight and reproducible data science.
4 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.), Quantitative genetics and genome analysis, pass, Master of Science (M.Sc.), Quantitative genetics and genome analysis, pass at The University of Edinburgh
Master of Research, Computational Biology, Master of Research, Computational Biology at University of York
Doctor of Philosophy (Ph.D.), Biology, cum laude (gut), Doctor of Philosophy (Ph.D.), Biology, cum laude (gut) at The Martin Luther University of Halle-Wittenberg
English, German, Russian, Dutch