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Applied Discrete Mathematics Group


Dr. Laubenbacher directs the Discrete Mathematics Group at Virginia Bioinformatics Institute. This group is interested in the development and application of bioinformatics tools using discrete mathematics, dynamic systems theory, and symbolic computation. Methods from computational polynomial algebra and combinatorial topology, as well as combinatorics are of particular interest.

Mathematical models are often used to analyze large systems, but current computational methods sometimes cannot handle the amount of data generated from genetic research. To get a clearer picture of how systems such as gene networks function, Dr. Laubenbacher uses cell complexes to represent certain aspects of biological systems. These complexes create algorithms that will allow for more computational flexibility and efficiency. Applying theories previously used to understand patterns in large-scale traffic models and the spread of pathogens, Dr. Laubenbacher and his group are modeling gene regulatory networks of yeast as a testbed for their approach.

Discrete Mathematics Group is involved in the following projects:
  • development of mathematical models for gene regulatory networks
  • development of computer models of immune response to viral pathogens
  • development of theory and applications of computer simulation to the study of networks
  • topological analysis of interaction patterns in networks.


Last modification date: Wednesday 31 of May, 2006 [10:27:06 EST] by bstigler


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