Michaela Schwaiger-Haber

The paper develops XCiMS software to analyze LC-IMS-MS data and evaluates how ion mobility spectrometry improves untargeted metabolomics by reducing chimeric spectra and providing CCS values.

The paper uses cell-specific isotope labeling to identify myo-inositol transfer from neurons to oligodendrocyte progenitor cells, promoting myelin repair and revealing a metabolic target for neurodegenerative disease therapy.

GEM-Net constructs multi-modal gene networks using harmonized omics data from the Long Life Family Study, revealing a microbiome-immune axis linked to metabolic health.

HERMES improves metabolite identification and structural annotation in mass spectrometry by using molecular formulas and avoiding peak detection.