Summary
Vedran Franke is a Staff Scientist in Berlin with 14 years of experience at the intersection of genomics, immunology, transcriptional regulation, evolution and machine learning. He moved from a PhD in molecular biology focused on early embryonic development to a decade-long postdoc at the Max Delbrück Center, where he specialized in integrating heterogeneous high-throughput datasets (RNA-seq, ChIP-seq) and applying ML for biological insight. Now at the Berlin Institute for Medical Systems Biology, he combines deep domain expertise with practical skills in next-generation sequencing analysis and data integration to tackle complex systems-biology problems. Known for bridging wet-lab questions and computational solutions, he brings a rare blend of evolutionary perspective and machine-learning pragmatism to translational genomics.
14 years of coding experience
12 years of employment as a software developer
mr. sc., Molecular Biology, mr. sc., Molecular Biology at Sveuèilište u Zagrebu / University of Zagreb
English, Croatian, German