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(Interests)
(Interests)
 
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*Understand the structure and dynamics of metabolic control systems (MCSs), gene regulatory networks (GRNs), protein interaction networks (PINs)
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*Understanding the structure and dynamics of metabolic control systems (MCSs), gene regulatory networks (GRNs), protein interaction networks (PINs)
 
*How can we deal with small copy numbers of molecules and its effects (beakdown of: -the law of large numbers -law of diffusion -law of mass action, concept of equilibrium becomes shaky)? Can new concepts help us understand what determines cell fate?
 
*How can we deal with small copy numbers of molecules and its effects (beakdown of: -the law of large numbers -law of diffusion -law of mass action, concept of equilibrium becomes shaky)? Can new concepts help us understand what determines cell fate?
 
*How does the dynamics of a network change throughout the [[Brusselator|parameter space]]? What are evolutionary constraints that confine the parameter space? (see also [[Network Motifs|network motifs]], pareto front)
 
*How does the dynamics of a network change throughout the [[Brusselator|parameter space]]? What are evolutionary constraints that confine the parameter space? (see also [[Network Motifs|network motifs]], pareto front)
 
*Can control theory be used to identify the network structure and parameters through experiments (Realization, System Identification, Pulse response)?
 
*Can control theory be used to identify the network structure and parameters through experiments (Realization, System Identification, Pulse response)?
 
*How can the concentration and interaction of metabolites, transcripts, proteins, ... be measured - how do we derive the network structure and dynamics efficiently? (microarrays, sequencing, qPCR, fluorescent reporters, FRET, Luciferase, 13C MFA, Mass Spectrometry, Chromatography, FACS, Surface Plasmon Resonance, ...)
 
*How can the concentration and interaction of metabolites, transcripts, proteins, ... be measured - how do we derive the network structure and dynamics efficiently? (microarrays, sequencing, qPCR, fluorescent reporters, FRET, Luciferase, 13C MFA, Mass Spectrometry, Chromatography, FACS, Surface Plasmon Resonance, ...)

Latest revision as of 23:31, 20 May 2015



Portrait.png


Hi, I'm Andreas Piehler and this is my personal website. I have a degree in physics from the University Vienna, where I also had my first research experience at the Molecular Systems Biology Group on "Flux Balance Analysis". I did my Bachelor Thesis at the IST Austria on "Optimality of Gene Expression Levels" under supervision of Tobias Bollenbach. Thereafter, I held a position as Marie Curie Fellow at the University of Warwick, where I resigned from soon after my Marie Curie Secondment, mostly spent in Matthias Heinemann's lab. After a visit in the research group of Ramon Grima, I started a research project together with Peter Swain and Ramon in terms of a MSc by Research in Cell and Molecular Biology at the University Edinburgh. We combine theory and experiment using the microfluidic platform ALCATRAS for single-cell time laps measurements of budding yeast and modelling of stochastic processes. This website contains some basic knowledge about physics and is thought to be a compendium summarizing topics of my main interests, which include Systems Biology, Biological Physics, Synthetic Biology, Complex Systems and Stochastic Processes.






























[edit] Interests

  • Understanding the structure and dynamics of metabolic control systems (MCSs), gene regulatory networks (GRNs), protein interaction networks (PINs)
  • How can we deal with small copy numbers of molecules and its effects (beakdown of: -the law of large numbers -law of diffusion -law of mass action, concept of equilibrium becomes shaky)? Can new concepts help us understand what determines cell fate?
  • How does the dynamics of a network change throughout the parameter space? What are evolutionary constraints that confine the parameter space? (see also network motifs, pareto front)
  • Can control theory be used to identify the network structure and parameters through experiments (Realization, System Identification, Pulse response)?
  • How can the concentration and interaction of metabolites, transcripts, proteins, ... be measured - how do we derive the network structure and dynamics efficiently? (microarrays, sequencing, qPCR, fluorescent reporters, FRET, Luciferase, 13C MFA, Mass Spectrometry, Chromatography, FACS, Surface Plasmon Resonance, ...)