Research Mission Pillar

Vision: Discover the basis for health and cures for disease

Research Pillar

Strategic Goals

1) Maximize recruitment and retention of outstanding faculty and staff at all levels.

  • Example tactic:
    • Creating a centralized interdisciplinary recruitment review committee to ensure a standard of excellence in new hires.

2) Optimize use of existing space and thoughtfully use future space.

  • Example tactic:
    • Moving 33 interdisciplinary labs into a central location, the Center for Health Sciences South Tower.

3) Build efficient and effective infrastructure to facilitate excellent research;

4) Stimulate and optimize new and successful areas of research.

  • Example tactics:
    • Developing a philanthropic effort for investment in a new immunology institute.
    • Providing financial support for interdepartmental seed grant funding (Research Themes).
    • Investing in the Institute for Precision Health (in collaboration with the health system) and in a new Computational Medicine department (in collaboration with the UCLA Samueli School of Engineering).

5) Maximize all sources of research funding — current and future — across entire enterprise.

  • Example tactic:
    • Implementation of a transparent and modern funds flow model (in collaboration with UCLA health system). 

Progress Spotlights

Research Themes

Research Themes

Creating seven Research Themes, offering interdepartmental seed grant funding and providing co-located space in the new South Tower building.

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Precision Health

Precision Health

Establishing an Institute for Precision Health (IPH) and a Department of Computational Medicine in partnership with the UCLA Samueli School of Engineering.

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Covid Research

COVID Research

Committing $11M of philanthropic funds to COVID research and creating a structured series of oversight committees to allow rapid, decisive evaluation and distribution of funding to the most impactful COVID research on campus.

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Computational Medicine

Computational Medicine

Launching the Department of Computational Medicine to transform patient care using artificial intelligence and genomics.

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