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Dynamic Modeling and Analysis of Multicellular Systems
Our lab specializes in dynamic modeling and analysis of complex biological systems to support a diverse set of bioengineering projects.  For example, in collaboration with Prof. Neil Forbes we are modeling tumor metabolism and growth to predict the dependence of tumor growth on the metabolism of individual cells under normal conditions and chemotherapeutic treatment.  Our long-term goal is to develop in vivo tumor models that have the potential to predict therapeutic efficiency and can be used to design effective chemotherapeutic strategies.   With Prof. Lianhong Sun, we are developing an integrated experimental and modeling program for the synthetic design of bacterial quorum sensing systems.   We envision that these engineered systems will have a wide range of potential applications including microbial fermentation, chemical detection, and ecosystem analysis.