About
Nick Lehner serves as a Scientist at the Institute for Computational Biology (ICB) within the Computational Health Center at Helmholtz Munich, where he has been employed since 2019. He is an active member of the Kastenmüller Lab, which focuses on understanding metabolic individuality in complex human diseases through systems metabolomics approaches.
Dr. Lehner specializes in multi-omics data processing and integration, with particular expertise in developing annotation browsers like SNiPA (snipa.org). His technical capabilities include medium and large-scale data preparation, storage, deployment, and web development. His research spans metabolomics, bioinformatics, data integration, biostatistics, big data analytics, and web tool development for biomedical applications.
His work contributes significantly to the lab's mission of identifying metabolic mechanisms that translate genetic risk factors and their interplay with lifestyle and environmental factors into disease development. He has been instrumental in developing web-based resources for metabolomics data integration and exploration, particularly contributing to Alzheimer's disease research through the AD Atlas project.
Dr. Lehner co-authored the 2021 medRxiv publication 'An Integrated Molecular Atlas of Alzheimer's Disease,' which presented a comprehensive network resource integrating over 20 large studies providing disease-relevant information on protein-coding genes, proteins, metabolites, and Alzheimer's-related phenotypes. This work demonstrates his contribution to contextualizing AD research results and enabling molecular hypothesis formulation through user-friendly interfaces.
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