Welcome to the Computational Biology Program

The Computational Biology Program at Fred Hutch was established to bring a new generation of biological researcher to the center whose training in biology is accompanied by advanced training in quantitative sciences including physics, statistics, mathematics, or computer science. Researchers with a core computational training bring unique perspectives to approaches to solving important biological problems.

The inclusion of quantitative and computational biology researchers alongside traditional disciplines was compelled in part by the explosion of information about the molecular machinery of living organisms, including human genome sequence and its products, as well as the availability of bio-technologies that measure molecular machinery on a genome-scale.  Our program members bridge a gap between what was once purely experimental or purely computational/statistical, allowing our program to address new areas of research.


Research Interests

  • Computational immunology, including the study of antigen formation and expression, and the evolution of the T Cell and B Cell response in cancer.
  • The natural history of the adaptive immune response in infectious disease.
  • Transcription control and its dis-regulation in human disease and aging.
  • Molecular evolution of viruses and proteins, especially HIV and flu.
  • Mathematical carcinogenesis modeling and its use in explaining cancer trends.
  • Macro-molecule interaction modeling on to understanding protein-DNA binding.
  • Biocomputing and statistical computing, including leadership in Bioconductor and Rosetta.



Last Updated: 06/10/15