Quantitative Oncology Research

Quantitative Oncology

Understanding tumor behavior to improve outcomes for cancer patients

Quantitative Oncology is a multi-disciplinary research program  developing advanced measurement capabilities and computational techniques to improve outcomes for patients with cancer. We are seeking a quantitative understanding of the behavior of cancerous cells and tissues as they evolve, respond to therapy, and interact with their microenvironments.

Research Themes

  1. Imaging: We are developing new imaging tools to analyze components of tumors on scales that range from angstroms to centimeters. 
     
  2. Omics: We are using genome, proteome, transcriptome, and other 'omic analyses of tumors to gain insights into tumor development and response or resistance to therapies. We are developing improved tools and algorithms to speed the analyses of tumors and make more accurate predictions of treatment response. 
     
  3. Systems Biology: We integrate and analyze complex data sets from multiple experimental sources to understand cancer-related molecular networks, the molecular and cellular phenotypes they regulate and the adaptation of these systems during cancer progression and treatment.

Program Leaders