About Us

Systems biology studies biological networks at a systems- or network-level in order to understand and predict cellular behaviors. Our research group studies microbial metabolism and regulation using a combination of computational and experimental approaches. We utilize computational models to study microbial systems, engineer cells, and expand our knowledge of the underlying mechanisms behind observed cellular behaviors. We are interested in studying microbes (and microbial interactions) involved in metabolic engineering, health, and bioremediation applications. Our models can integrate diverse sets of experimental data to describe and predict the structure and activity of cellular networks. We are interested in identifying novel enzymes and/or reactions, transcriptional regulatory interactions, and inter-species interactions to further elucidate genotype-phenotype relationships. We are also interested in quantifying network activities using a variety of experimental (e.g.,13C metabolic flux analysis) and computational tools (e.g., constraint-based and kinetic models). Developed models allow us to systematically evaluate the capabilities of different organisms from a network-based perspective and to identify ways in which genetic or environmental manipulations could enhance desired activities (e.g., chemical production) or prevent un-desirable states (e.g., disease). Our research is largely focused in three main areas: network discovery, metabolic engineering, and microbial interactions.


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University of Wisconsin Madison
1415 Engineering Dr,
3639 Engineering Hall, Madison, WI 53706