characterizing the non-linear processes that govern how cells behave and misbehave.

approaches to rationally integrate diverse types of high-throughput data.

understanding the processes that give rise to biomarkers and govern their potential utility.

characterizing how evolutionary forces (e.g. microenvironment, or drug treatment) impact tumor composition.

experimental and computational approaches to improve the throughput and sensitivity of proteomics technologies

a platform to accelerate the development of proteomics analysis tools.

Previous Next Play Pause
cell models cell models
integrated omics integrated omics
biomarker discovery biomarker discovery
tumor evolution tumor evolution
proteomics technology proteomics technology
proteoWizard proteoWizard
Smaller Default Larger

 

Canary Center @ Stanford

news

check out our latest papers on

- ProteoWizard (Nature Biotech)

- Cell Squishyness & Sliminess & Metastatic Potential (PNAS)

- A physical sciences characterization of Metastatic vs Normal (Nature Scientific Reports)

 

overview

Our lab focuses on applying computational and experimental approaches to study cancer as a complex adaptive system.  It is our hope that by better characterizing the processes that govern how cancers develop and grow that we will be able to develop techniques to monitor those processes in a minimally invasive manner (e.g. using imaging or blood tests)