Summary
David Dylus is a Principal Scientist and trained molecular and computational systems biologist with 11 years of experience translating diverse biomedical data into high-confidence target hypotheses for immunology and infectious disease. At Roche he has progressed from hands-on systems biology and pipeline development to leading data-driven target identification, knowledge graph projects, and cross-disciplinary collaborations while mentoring PostDocs and interns. He combines strong software and computational skills (C++, Matlab, pipelines) with deep domain knowledge from academic and industry posts including UCL, UNIL and SIB, and a PhD in Systems Biology. Known for designing disease-specific data strategies and enabling matrix leadership, he excels at aligning the right technical and scientific talent to complex problems. An organizer of scientific meeting series and developer of multi-platform NGS integration tools, he brings both community-building and reproducible-analysis instincts to large-scale target discovery.
11 years of coding experience
16 years of employment as a software developer
University of Tokyo
Master of Engineering (MEng), Engineering Cybernetics, 1.8 (Best: 1, Fail: 5), Master of Engineering (MEng), Engineering Cybernetics, 1.8 (Best: 1, Fail: 5) at University of Stuttgart
Doctor of Philosophy (PhD), Systems Biology, Doctor of Philosophy (PhD), Systems Biology at University College London, U. of London
English, German, Polish, Greek