Chinese Hamster Ovary (CHO) cells are the dominant host for manufacturing monoclonal antibodies and other biotherapeutics. This project will integrate extracellular and intracellular metabolomics with genome-scale metabolic models to characterize cellular metabolism during bioprocessing. The objective is to identify metabolic bottlenecks, optimize media and feeding strategies, and develop predictive models for improving cell growth, productivity, and product quality. The work will combine high-resolution mass spectrometry, metabolic modeling, and machine learning to enable data-driven optimization of mammalian cell culture processes.