We take a systems approach to studying biological networks important to human disease.

We use mathematical and computational models as powerful complements to traditional experimental biology.

Our work on RAS signaling demonstrates that mathematical models based upon a detailed, biochemical, understanding of the pathway can have broad predictive power for problems in cancer biology, in turn leading to new discoveries.

RAS Model