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 the 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;

Example tactics:

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 the 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.

See theme areas

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.

Visit Precision Health

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.

See Clinical Trials

Computational Medicine

Computational Medicine

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

Visit Computational Medicine