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The Computational Medicine Program seeks to integrate modern computational approaches with cutting-edge experimental techniques to advance the goal of predictive health care.

Our Goals

  • Build expertise in computational medicine by partnering with departments to recruit faculty.
  • Initiate interdisciplinary team science by providing meeting space, administrative support and seed funding for collaborative projects.
  • Provide a community space for computational and mathematical biologists to meet and plan.
  • Identify strategic initiatives for computational approaches in biological and biomedical research (example being RFA entitled “Emerging Questions in Cancer Systems Biology (U01)”).
  • Provide mentoring for junior faculty, postdocs, and graduates students interested in a career in computational biology.
  • Develop new graduate training opportunities.
  • Promote research in computational medicine by hosting symposia and workshops.