Achieving a system-level understanding of cellular metabolism represents a major challenge from a basic science perspective, considering the complexity of the system, involving the combined activity of hundreds or thousands of biochemical reactions.
Our group aims to derive a comprehensive and quantitative view of cellular metabolism by combining experimental and computational tools.
Our major experimental platform is metabolomics via mass-spectrometry (LC/MS), enabling the detection and quantification of hundreds of metabolites per biological sample. To facilitate the determination of metabolic flux, we employ isotope-tracing techniques, and develop novel analytical approaches and algorithms for interpreting generated data. On the computational front, we further specialize in developing methods for analyzing genome-scale metabolic network models via constraint-based modeling (CBM).