Summary
Jonas Förster is a computational biologist and postdoctoral fellow at DKFZ with a decade of experience applying immunopeptidomics, mass spectrometry and systems modelling to study HLA-presented peptides. He combines hands-on data engineering, workflow automation and machine learning to extract biological insight from complex proteomic datasets. Jonas developed the COPASI R Connector (CoRC), enabling programmatic biochemical modelling and bridging experimental data with dynamic simulations. Trained in systems and molecular biology at Heidelberg University, he brings both rigorous quantitative skills and practical tooling experience to translational immunology problems. An analytical problem-solver, he often pairs experimental intuition with reproducible software to accelerate peptide detection and interpretation.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Systems Biology, 1.2, Master of Science - MS, Systems Biology, 1.2 at Heidelberg University
German, English