Our scientific interest is focused on understanding cellular metabolism in health and disease using a combination of experimental and computational approaches. Mainly, we use mass-spectrometry-based methods to find mechanistic links between changes in intracellular metabolism and disease development or progression. To that end, we develop and apply algorithms to extract biological information out of mass-spectrometric data, with a focus on data obtained from stable-isotope labeling experiments.
