Summary
Gerhard Schöfl is Head of Bioinformatics at DKMS Life Science Lab in Dresden, bringing 11 years of experience in R-driven data science, statistics, and predictive modeling applied to HLA bioinformatics and NGS workflows. He leads algorithm development and specialised software implementation for high-resolution, sequence-based HLA genotyping, and champions adoption of long-read technologies (PacBio, Oxford Nanopore) to improve phasing and typing accuracy. With a strong academic foundation in population genetics and a history of generating fully phased HLA references through hybrid error correction, he combines rigorous statistical training with hands-on sequencing expertise. Gerhard also teaches applied statistics and has translated population-genetics research across diverse organisms into robust bioinformatic pipelines, reflecting a rare mix of domain depth and practical engineering.
11 years of coding experience
7 years of employment as a software developer
Mag. rer. nat., Zoology/Animal Biology, Mag. rer. nat., Zoology/Animal Biology at Universität Wien
Ecology, Evolution, Systematics, and Population Biology, Ecology, Evolution, Systematics, and Population Biology at University of Bergen (UiB)
Biology, General, Biology, General at Karl-Franzens-Universität Graz
Dr. rer. nat., Population Genetics, Dr. rer. nat., Population Genetics at Veterinärmedizinische Universität Wien
English, Norwegian, German