Infectious Disease Prevention Research via Innovative Statistical Methods (ID-PRISM) is a center fostering collaborative efforts to rigorously answer scientific questions in HIV and other infectious disease prevention studies. Our membership includes Fred Hutch and University of Washington Biostatistics and Statistics faculty, masters-degree statisticians and students, with a training mission through doctoral supervision, masters thesis and capstone project supervision, research assistantships, and undergraduate student internships.

Key Priorities

  • Collaboration
  • Training
  • Conversation
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Fostering Collaboration Among Biostatisticians

ID-PRISM will bring together Fred Hutch and UW biostatistics programs to support cross-boundary efforts in HIV and infectious disease preventative research. This Center will serve to bring together individuals that utilize innovative statistical methods to explore best practices to promote positive health outcomes worldwide.

Create Training Opportunities

UW doctoral and masters students will have access to training and research opportunities across diverse preventative research projects in HIV/AIDS and infectious diseases.

Increase Sharing Opportunities

Our special programs and seminars will enable sharing between researchers at various organizations.

Peter Gilbert presenting at vaccine trials network meeting


ID-PRISM leadership includes members from Fred Hutch, the HPTN and HVTN Statistical Data Managment Centers, UW Biostatisics and Statistics departments.

Scientists at vaccine trials network meeting


Members are from Fred Hutch and the University of Washington. Contact us if you would like to join ID-PRISM.

Our Impact

Innovative Statistics Targeting HIV/AIDS and Infectious Disease Prevention

Facilitating scientific discovery through the use of statistical methods to develop solutions to prevent and treat HIV and other infectious diseases.

Collaborating Networks

Learn More About Our COVID-19 Research

Contact Us

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Are you interested in being a part of our effort? Join Us!

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Last Modified, January 19, 2021