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Cancer metastasis and therapy resistance remain unsolved clinical challenges and cause almost all fatalities due to cancer.

 

Our long-term goal is to design more effective therapeutic strategies that can prevent metastasis and therapy resistance, using a network-level and dynamic understanding of the molecular mechanisms gained through an interdisciplinary systems biology approach.

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Our research interests are at the intersection of cancer biology and computational systems biology. Working closely with experimental collaborators, we develop predictive mechanism-based multi-scale mathematical models to elucidate the emergent dynamics of cellular networks driving metastasis and drug resistance.

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