Therefore, it is useful to identify
tumor features that can serve as «
predictive biomarkers» to forecast how a person's
tumor might respond to a particular treatment.
Christina's research leverages genome - scale data, coupled with computational modeling and iterative experimentation in order to define the molecular determinants and dynamics of
tumor progression and to develop
predictive and prognostic
biomarkers.