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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.