People

Coordinator: Wolfram Liebermeister

BioSys, Applied Mathematics and Computer Science from Genome to Environment, National Research Institute for Agriculture, Food and Environment INRAE in Jouy-en-Josas

Email: wolfram.liebermeister@gmail.com

  • An economic network theory of cell metabolism
  • Dynamics and function of enzyme regulation
  • Projects on metabolic modelling
  • Systems biology tools

Martina Dal Bello

The Dal Bello Lab, Department of Ecology and Evolutionary Biology, Microbial Sciences Institute at Yale

Email: dalbello@yale.edu

  • Nutrient-mediated interactions and community diversity
  • Ecological drivers of the distribution of fast and slow growers
  • Memory and community response to environmental perturbations

Frank Bruggeman

Systems Biology Lab, Faculty of Science at the VU Amsterdam

Email: f.j.bruggeman@vu.nl

  • Self-organisation of metabolism
  • Maximisation of cellular fitness
  • Adaptive phenotypic diversification of isogenic populations of microorganisms
  • Physiology of single cells and its relation to population properties
  • Theory, software, algorithms and mathematical-modelling methods
  • Experimental methods, bacterial physiology, fluorescence microscopy, single-molecule methods

Terry Hwa

Hwa Research Group, Laboratory for Quantitative Microbiology, Department of Physics and Department of Molecular Biology at the UC San Diego

Email: hwa@ucsd.edu

  • Bacterial stress response
  • Non-growing bacteria
  • Characterizing distinct bacterial physio-types
  • Interacting microbial communities

Ralf Steuer

AG Statistical Physics of Evolution, Peter Debye Institute for Soft Matter Physics at Faculty of Physics and Earth System Sciences at the University of Leipzig

Email: ralf.steuer@uni-leipzig.de

  • Growth and Metabolism of Living Cells
  • Understanding Phototrophic Growth
  • Cyanobacterial Biotechnology
  • Self-Organization of Microbial Communities
  • Models of Cancer Metabolism
  • Principles of Cellular Signal Transduction
  • Large-Scale Data Analysis and Interpretation of Metabolomics Data

Steffen Waldherr

Computational methods for systems biology and biotechnology - Steffen Waldherr group, Molecular Systems Biology, Faculty of Life Sciences at University of Vienna

Email: steffen.waldherr@univie.ac.at

  • Dynamic flux balance and resource allocation models
  • Bioprocess optimization and control with constraint-based models
  • Modelling and estimation of heterogeneous cell populations
  • Machine learning for biochemical data and processes

Jürgen Zanghellini

Biochemical Network Analysis: AG Zanghellini, Department of Analytical Chemistry, Faculty of Chemistry at the University of Vienna

Email: juergen.zanghellini@univie.ac.at

  • Computational Biology
  • Mathematical modelling in biology
  • Systems and synthetical biology
  • Analysis of biological networks
  • Computational fluid dynamic (CFD) applications in biotechnology