I develop and integrate mass spectrometry-based multi omics solutions to characterize the proteome, metabolome as well as lipidome and dissect molecular big data through tailored machine-learning strategies. From 2011 to 2017, I worked with Matthias Mann (Max Planck Institute for Biochemistry) developing and applying mass spectrometry technologies to investigate the complex protein networks of our immune system as well as proteome perturbations that associate with ALS, Alzheimer’s, and Huntington’s disease. Last fall, I joined Mike Snyder (Stanford) to integrate lipidomics as a novel molecular lens into our multi omics precision medicine efforts. My mission is to discover personalized molecular fingerprints across omes opening up new avenues to define health and disease phenotypes and predict personalized disease trajectories.
Clinical & Research Tools Showcase: Stanford
The Snyder Lab at Stanford spearheads the development of multi omics precision medicine to understand human variation and health.
The Lipidome: A Precision Lens to Uncover Inter Individual Differences
I characterized the plasma lipidome of healthy and prediabetic individuals. Strikingly, the lipidome provides the most personalized molecular fingerprint of all investigated ‘omes’ opening up new avenues to define disease phenotypes and predict personalized disease trajectories.