HEC Montréal, Canada, 2 - 4 mai 2011

Journées de l'optimisation 2011

HEC Montréal, Canada, 2 — 4 mai 2011

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TC7 Défis en optimisation en biologie / Optimization Challenges in Biology

3 mai 2011 15h30 – 17h10

Salle: Hélène-Desmarais

Présidée par Mathieu Cloutier

4 présentations

  • 15h30 - 15h55

    Cell Energy Metabolism: State Estimation and Choice of a Sensor Sequence

    • Guillaume Goffaux, prés., École Polytechnique Montréal
    • Mathieu Cloutier, GERAD
    • Michel Perrier, GERAD - Polytechnique Montréal
    • Bala Srinivasan, École Polytechnique Montréal

    Cell components are estimated in a model describing the cell energy metabolism. To this end, an extended Kalman filter is designed using glucose, lactate and CO2 measurements. In order to determine the best sequence, an optimization can be performed as online measurements can be expensive and unconvenient.

  • 15h55 - 16h20

    Development of a Kinetic Model: The Problem of Parameters Identification

    • Alexandre Valancin, prés., École Polytechnique de Montréal

    Kinetic models can involve a lot of parameters. Thus, their identification becomes a really difficult task. This is facilitated by the “extents of reaction” method that allows to focus on each reaction independently. This study aims at describing genetically modified potato hairy roots with the goal of increasing starch content.

  • 16h20 - 16h45

    A Kinetic-Metabolic Model Describes CHO Cell Behaviour

    • Atefeh Ghorbaniaghdam, prés., phd student

    A descriptive and predictive mathematical model of cell behaviour is being developed for the design and control of cell culture conditions.The modeling approach looks at closely describing cell biology, a criterion that requires, however, a high number of parameters. We thus present here a challenging problem for the optimization community.

  • 16h45 - 17h10

    Control, Optimization and Systems Biomedicine

    • Mathieu Cloutier, prés., GERAD

    This talk will briefly highlight some recent challenges regarding the optimization of complex biological systems, including a discussion on the internal feedback loops by which a cell can optimize its behaviour in a dynamic environment. Some remarks will be made on the potential applications for biomedicine.