Gabi KastenmüllerView profile
Researcher
Dr. Gabi Kastenmüller is the Head of Research Group Systems Metabolomics at the Computational Health Center / ICB, Helmholtz Zentrum München (Helmholtz Munich), a position she has held since 2019. Previously, she served as Head of Research Group "Metabolomics" at IBIS, Helmholtz Zentrum München (2011-2019) and as Director (acting) of the Institute of Bioinformatics and Systems Biology (2017-2019). She was also an Honorary Lecturer in the Department of Twin Research at King's College London from 2014-2017. Dr. Kastenmüller's educational background includes dual Master's degrees in Computer Science and Chemistry from Ludwig-Maximilians-Universität München, followed by a PhD in Genome-oriented Bioinformatics from Technische Universität München in 2009. Her doctoral thesis focused on "In silico prediction and comparison of metabolic capabilities in sequenced genomes." Prior to her PhD, she gained research experience at the Munich Information Center for Protein Sequences (MIPS) and at IBIS, Helmholtz Zentrum München. Her research program centers on understanding how genetic risk factors interact with lifestyle and environmental factors to influence the development of complex diseases. With a focus on metabolomics, her work investigates how individual metabolic profiles affect health outcomes in conditions such as diabetes, kidney disease, Alzheimer's disease, and depression. Dr. Kastenmüller's group develops innovative bioinformatics approaches to analyze and integrate large-scale metabolomics data, aiming to uncover the molecular mechanisms underlying metabolic disruptions in age-related diseases. Analysis of Dr. Kastenmüller's publication record reveals a strong interdisciplinary focus spanning metabolomics, genetics, and systems biology. Her work consistently addresses the challenge of translating big data into biological insights, with particular emphasis on metabolic individuality, disease mechanisms, and personalized prevention strategies. Notable contributions include investigations into multimorbidity pathways, sex-specific metabolic alterations in Alzheimer's disease, the functional relationship between gut microbiome and fecal metabolome, and the development of bioinformatics tools like SNiPA for genetic variant annotation. Dr. Kastenmüller has established herself as a leader in developing computational frameworks for metabolomics data analysis. Her research group focuses on four key areas: unraveling determinants of metabolic individuality, integrating metabolomic-centric data to identify disease processes, mapping metabolomic responses to physiological challenges, and building intuitive web tools for data exploration. These efforts have resulted in numerous high-impact publications in journals such as Nature Genetics, Nature Medicine, and Nature Communications, reflecting the significance of her contributions to the field of systems metabolomics.










