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.

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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