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Eduard Kerkhoven is a Senior Researcher in Systems Biology at Chalmers University of Technology. His research focuses on metabolic systems biology, utilizing computational model-driven analysis to interpret experimental data for understanding and engineering biological systems. He emphasizes the metabolism's role in bridging the gap between silico predictions and in vivo validation, particularly for data-driven genetic engineering. He leads projects aimed at developing microbial cell factories for sustainable chemical production and investigates the metabolic aspects of human diseases. His work includes reconstructing genome-scale metabolic models (GEMs) for various organisms, including yeast and bacteria, by employing the RAVEN Toolbox. Furthermore, he uses omics analyses such as RNAseq and proteomics in conjunction with enzyme-constrained models built with the GECKO Toolbox. In addition to biotechnological advancements, he explores the evolutionary aspects of yeast and applies deep learning to predict k cat values.
Chalmers University of Technology • Gothenburg
Leading research projects in metabolic systems biology and computational analysis of metabolic pathways.
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