Scientists in the Computational & Systems Biology Program at SKI combine findings in biology with computer algorithms and databases to conduct biological research. Work in so-called “dry” laboratories, consisting of powerful computers running sophisticated software, complements and strengthens traditional laboratory and clinical research. The aim is to build computer models that simulate biological processes from the molecular level up to the organism as a whole and to use these models to make useful predictions.

Scientists in the program are leaders in bringing the enormous power of single cell sequencing to an array of challenging problems in contemporary biomedicine. They use their mathematical expertise to help interpret the massive amounts of data that are emerging from genomic techniques. 

Dana Pe'er, Chair of SKI's Computational and Systems Biology Program

Dana Pe’er, Chair of the Computational & Systems Biology Program

 

Our Faculty

  • Dana Pe'er, PhD
    Chair, Computational & Systems Biology Program
    Computational Biologist Dana Pe’er combines single cell technologies, genomic datasets and machine learning techniques to address fundamental questions addressing regulatory cell circuits, cellular development, tumor immune eco-system, genotype to phenotype relations and precision medicine.
  • John Chodera, PhD
    Computational chemist John Chodera uses statistical mechanics, molecular modeling, and automated biophysical experiments to help identify new potential therapeutics and investigate mechanisms of drug resistance in cancer.
  • Christina Leslie, PhD
    Computational biologist Christina Leslie focuses on developing machine learning algorithms for computational and systems biology.
  • Thomas Norman, PhD
    Systems biologist Thomas Norman develops new computational and functional genomics approaches for studying how genes interact to realize complex phenotypes.
  • Joao Xavier, PhD
    Computational biologist Joao Xavier studies computer models and quantitative experiments of biofilm and cancer growth.

Resources & Collaborations

SKI offers a wide array of core facilities and other technologies, as well as significant opportunity for collaboration. Members of the Computational & Systems Biology Program derive particular benefit from close ties to the following:

Join Our Program
We seek out innovative new scientists to join our faculty on an annual basis. Recruitment begins in the fall. Postdocs and other prospective lab members can learn more by browsing the lab pages of individual PIs or by visiting our Careers website.
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