Project 6: Thermodynamically-curated genome-scale model of Yarrowia lipolytica with extended lipids network.
Yarrowia lipolytica: a thermodynamically curated model with TFA, which increases the predictive power of genome scale models. Several reduced models amenable to kinetics studies. A modified model with state of the art curated lipids metabolism
Methods : A pipeline to run Metabolic Control Analysis on a reduced Yarrowia Lipolytica for improved metabolic engineering.
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.