Develops software that implements statistical and algorithmic approaches to analyze and integrate immunoprofile and metagenomic data.
Peter Hansen studied Bioinformatics at Freie Universität Berlin, Germany. He worked as a research associate at the Institute of Medical Genetics and Human Genetics of the Charité University Hospital in Berlin and received his Ph.D. degree in Mathematics and Computer Science in 2019. He gained practical experience in collaboration with human geneticist at the Charité University Hospital and developmental biologists Max Planck Institute for Molecular Genetics. Furthermore, he developed various software tools for NGS data analysis including the ChIP-seq peak caller Q and a desktop application named GOPHER for the design of capture Hi-C probes. Peter joined the Robinson Lab in April 2019. He will contribute to a project that aims to improve diagnosis and therapy of ME/CFS by developing software that integrates immunoprofile and metagenomics data using machine learning techniques.