Team Science

Pathogen-Associated Malignancies Integrated Research Center

Team Science

Integrated Research Centers (IRCs)

Fred Hutch's Integrated Research Centers are designed to accelerate discovery by promoting cross-disciplinary and cross-divisional collaboration in research areas where there is great potential for the Hutch to have transformative impact. They are complementary to the Hutch’s scientific divisions, leveraging existing expertise and resources while helping to enable growth in highly competitive, high-priority areas.

Dr. Denise Galloway,
Scientific Director

Photo by Robert Hood / Fred Hutch News Service

Pathogen-Associated Malignancies IRC

The Pathogen-Associated Malignancies Integrated Research Center, directed by Dr. Denise Galloway, brings together experts in infectious diseases, host–pathogen interactions, cancer biology, immunology, global oncology and immunotherapy to understand, treat and prevent the cancers linked to infectious agents. Learn more about the PAM IRC launch.

Dr. Stanley Riddell, Scientific Director

Photo by Bo Jungmayer / Fred Hutch News Service

Immunotherapy IRC

The Immunotherapy Integrated Research Center, directed by Dr. Stanley Riddell, is helping to develop new partnerships, facilitate the recruitment of new team members, and fund early-stage projects to jump-start new ideas. Through the IIRC, the Hutch’s programs in cell therapy, transplant immunology, tumor microenvironment, immune checkpoint regulation, immunogenomics, therapeutic vaccines and more will continue to grow.

Dr. Raphael Gottardo,
Scientific Director

Photo by Robert Hood / Fred Hutch News Service

Translational Data Science IRC

Recent advances in experimental technologies and computational techniques have changed the way scientists think about and use data to drive meaningful improvements for patients. The Translational Data Science Integrated Research Center was created to leverage those advances — and spur future innovation — in order to open up new avenues for preventing and treating cancer and related diseases through data-driven discoveries.