Maria Kogadeeva

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Maria Kogadeeva


Maria studied mathematical methods of forecasting in the Lomonosov Moscow State University, faculty of Computational Mathematics and Cybernetics. She wrote her diploma thesis "A model-based approach to gene expression level estimation in DNA-microarrays" in Dr. K.Vorontsov research group and graduated in 2011.
In 2010-2012 she worked in Scientific Research Center "BioClinicum" (Moscow, Russia) on developing computational methods for DNA-microarray data analysis. She was involved in projects to investigate transcriptomic changes in human blood cells during sports training and develop gene expression test system for breast cancer.
In 2012 she joined the group of Prof. Uwe Sauer as a PhD student.


Metabolic Flux Analysis (MFA) aims at quantifying the actual rates of biochemical reactions occurring in living cells. Stable isotope, and in particular 13C-based flux analysis, has been used for the past decades as a pivotal approach to unravel structure and regulation in metabolic networks, in particular in microorganisms grown in minimal media. Among the major challenges of flux analysis is quantification of fluxes in cellular compartments, rich media, cell-wide metabolic networks and dynamic systems.
Maria is currently working on Synthetic Flux Analysis project to develop methods of metabolic flux ratio estimation in more complex networks using minimum amount of 13C labeling data.

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Mon Jun 26 12:05:16 CEST 2017
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