NVIDIA Foundation

Our Programs
Compute the Cure

Cancer Research Grants

We believe that computation is the path to a cure for cancer.


As the amount of data available for discovery increases exponentially, there is now unprecedented opportunity for researchers to use computation to push their research further than ever before. Through our Compute the Cure research grants, we support projects that use innovative computing techniques to advance cancer research, diagnostics, and treatment.


Funded Initiatives


Research teams from San Diego’s Ludwig Cancer Research Institute and the University of Toronto each received a $200,000 Compute the Cure grant from the NVIDIA Foundation. The Ludwig group, led by Dr. Paul Mischel, is using high performance computing and GPU-accelerated deep learning to better understand the most potent “driver” genes and their role in cancer. Drs. Quaid Morris and David Duvenaud at the University of Toronto will use deep learning and DNA sequencing data to rapidly build a cancer’s “family tree” — revealing the mutations turning healthy cells into malignant tumors, and enabling us to predict how they’ll evolve. Learn more.



Research teams from the Translational Genomics Research Institute (TGen) and University of North Texas (UNT) each received $200,000 from the NVIDIA Foundation. The TGen team is optimizing a GPU-accelerated statistical analysis tool to identify differences among groups of cells in the same tumor to move clinicians closer to precision medicine in cancer. The team at UNT is using computational simulations to discover and characterize new cancer biomarkers to improve diagnostics and develop personalized genetic therapies. Learn more.


Gang Wu, a Ph.D. student at the University of Sussex, was awarded a $25,000 Compute the Cure Graduate Fellowship grant for his research to enable interactive-rate FLIM for improved cancer research, diagnosis, and treatment outcomes.



A research team at the University of Toronto, led by Dr. Brendan Frey, was awarded $200,000 to support its work using GPU-powered, deep learning techniques to advance cancer diagnostics. Learn more.


John Neylon, a Ph.D. student at UCLA, was awarded a $25,000 Compute the Cure Graduate Fellowship award for his research using GPUs to improve cancer treatments based on adaptive radiation therapy. Learn more.



Research teams from the Dana-Farber Cancer Institute (DFCI) and Stanford University each received $200,000 from the NVIDIA Foundation. Led by Dr. John Quackenbush, the team at DFCI is developing GPU-accelerated algorithms that can be used to discover cancer subtypes in large genomic mutational data sets. Dr. Vijay Pande's team at Stanford is focused on using large-scale deep learning and simulation for personalized tumor diagnostics. Learn more.



The NVIDIA Foundation awarded a $200,000 grant to Dr. Rommie Amaro, a researcher at the University of California, San Diego. Dr. Amaro is pursuing her work on a shareable GPU-accelerated workflow to help speed the development of drugs to fight cancer. Learn more.



The first Compute the Cure research grant funded Virginia Tech and the Virginia Bioinformatics Institute to develop an open source software framework for cancer researchers, to improve the speed with which they identify the DNA mutations that lead to cancer. The platform, called the Open Genomics Engine, launched in 2012. It offers easy-to-access and popular algorithms for gene mapping and discovery, as well as GPU-accelerated re-alignment algorithms. The platform is now freely available to the research community.


Image courtesy of the National Cancer Institute.