Summary
Matthias Lienhard is a bioinformatics analyst with nine years of hands-on experience translating complex genomic and epigenetic data into actionable insights, most recently at NEXUS Personalized Health after a decade at the Max Planck Institute for Molecular Genetics. He built and maintained Python toolchains for long-read transcriptomics, developed Bayesian models and Bioconductor packages for DNA methylation analysis, and applied machine learning to predict drug responses in cancer and hematopoietic malignancies. Matthias combines rigorous academic training (PhD in Computational Biology) with practical engineering—publishing reproducible pipelines, supervising students, and integrating multi-omic datasets for translational research. Based in Berlin, he balances family life with a practical maker’s curiosity—robotics, microcontroller programming and 3D printing—which informs his pragmatic, automation-first approach to scalable bioinformatics.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Freie Universität Berlin