From Discovery to Clinical Insights – the power of integrating proteomics and genomics data

Maik Pietzner, PhD

Berlin Institute of Health at Charité
Universitätsmedizin Berlin, Berlin, Germany

Maik co-leads the group for Computational Medicine at the Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany and holds a chair for Health Data Modelling at the Precision Healthcare University Research Institute (PHURI), Queen Mary University of London, UK. He has co-led multiple efforts to associate human genetic variation at scale with intermediate molecular layers, such as proteomics and metabolomics, among various population-based studies that have identified novel pathophysiological pathways and possible treatment targets. His work on protein quantitative trait loci is spearheading the field and he has recently embarked on the integration of electronic health records to systematically augment the space of diagnosis and diseases amendable to in silico prioritisation of novel treatment targets, drug repurposing, or de-risking anchored on rare and common variation in the human genome. His influence on the field is demonstrated by an outstanding track record with publications in Science and the Nature family. Maik obtained his training and PhD in biomathematics at the University of Greifswald graduating with distinction.