Team Economic Principles in Cell Physiology
Forum organizers
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
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
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
Video recordings
To watch the recorded Forum sessions, please contact Jürgen Zanghellini.
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
Book organizers
Ohad Golan
Email: o.g.golan@gmail.com
Pranas Grigaitis
Systems Biology, Faculty of Science, VU Amsterdam
Email: p.grigaitis@vu.nl
- Biochemistry
- Microbial physiology
- Computational modeling
- Metabolism organization
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
Herbert Sauro
Sauro Lab UW BIOE: Predictive Sys-Bio Lab, University of Washington
Email: hsauro@uw.edu
- Creating software to enhance advanced modeling
- Developing whole cell metabolic models
- Developing models of protein signaling networks related to cancer tumor growth
- Understand the design of protein signaling networks in terms of signal processing
- Developing best practices for models that may be used in a clinical settings
Diana Széliová
Biochemical Network Analysis, Department of Analytical Chemistry, Faculty of Chemistry at the University of Vienna
Email: diana.szeliova@univie.ac.at
- Systems biology
- Metabolic modeling
- Omics data analysis
List of book organizers
For the list of all authors, see the book contributors page.
Summer school organizers
Hidde de Jong
INRIA research centre at Université Grenoble Alpes
Email: Hidde.de-Jong@inria.fr
- Mathematical modeling of biological systems
- Systems biology of microorganisms
- Analysis of metabolic networks and biotechnological applications
- Measurement of gene expression dynamics using fluorescent reporter genes and development of computer tools WellReader and WellInverter
- Identification of gene regulatory networks from experimental data
- Qualitative analysis of gene regulatory networks, using the computer tool Genetic Network Analyzer (GNA)
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
Diana Széliová
Biochemical Network Analysis, Department of Analytical Chemistry, Faculty of Chemistry at the University of Vienna
Email: diana.szeliova@univie.ac.at
- Systems biology
- Metabolic modeling
- Omics data analysis
Meike Wortel
Evolutionary Systems Biology group, SILS/Molecular Plant Pathology, Faculty of Science, Universiteit van Amsterdam
Email: m.t.wortel@uva.nl
- Mathematical tools and computational methods
- Microbial evolution
- Microbiomes
- Antibiotic resistance evolution
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