Summary
Samuel D is an Associate Director at Genmab with a decade of experience applying machine learning and bioinformatics to antibody discovery and translational R&D. He leads cross-functional teams that integrate de-novo design, developability prediction, and ML-driven affinity optimization to ensure computational insights directly inform discovery pipelines. Previously he built explainable AI use cases with partners including NASA and major cancer institutes, and drove omics and single-cell biomarker strategies in clinical-stage pharma. Trained at Oxford (DPhil in Systems Biology) and experienced in both academia and industry, he bridges deep computational rigor with pragmatic product and strategy thinking. Outside the lab he intentionally keeps time for informal networking, reflecting a habit of sourcing diverse perspectives to solve hard biological problems.
10 years of coding experience
7 years of employment as a software developer
DPhil (PhD), Systems Biology, Dept of Computer Science, DPhil (PhD), Systems Biology, Dept of Computer Science at University of Oxford
MBA Elective, Strategy and Innovation, MBA Elective, Strategy and Innovation at Saïd Business School, University of Oxford
BSc, Biological Sciences, BSc, Biological Sciences at University of Leeds
German, English, Danish