Project 6: Genome-scale kinetic model of Kluyveromyces marxianus metabolism.
Development of a genome-scale kinetic model of the native metabolism in yeast Kluyveromyces used for the production of the target products. The model will be further tailored to the needs of the BUILD and TEST projects: adjust the network size and include all the enzyme reactions and cellular processes required for the most accurate description of the pathways and processes of the systems studied in BUILD and TEST work packages.
More information: http://lcsb.epfl.ch/
Pierre holds a MScEng from MINES ParisTech (Paris, France), with a major in Biotechnologies and Applied Mathematics, and is currently a Ph.D. candidate at EPFL (Lausanne, Switzerland), in Prof. Vassily HATZIMANIKATIS’s Laboratory for Computational Systems Biotechnology (LCSB – http://lcsb.epfl.ch/).
During his MScEng, Pierre also acquired a 20+ months experience in Industry. He worked as intern computational biologist for the Total (Euronext:FP/NYSE:TOT) and Amyris (NASDAQ:AMRS) collaboration for biofuels. He was involved in highly cross-functional projects dedicated to the better understanding of the inner mechanisms of yeast cell factories.
Pierre focused on genome-scale models and experimental data integration to identify and overcome metabolic bottlenecks in production cells. He used multiple integration of state-of-the-art modeling techniques to enable real-time experimental tracking of carbon isotopes through the cell, and performed thermodynamics and graph theoretical-based analyses, to unravel the actual flux physiology of biofuel-producing cells.
Using applied mathematics tools, he aims at shedding light on the inner mechanisms of cell factories, to help metabolic engineers design optimized strains that will perform better in yield and productivity.