Nvidia Foundation

Our Programs
Compute the Cure

Cancer Research Grants

Cancer is a disease of the DNA, which leads to uncontrolled division of cells in the body. The key to curing cancer is to understand what causes DNA mutations, and technology is playing an increasingly important role in this understanding.


As the cost of sequencing DNA decreases, and the amount of data available for discovery increases exponentially, there's an unprecedented opportunity for researchers to use computation to push their research further than ever before. We believe computation is the path to a cure for cancer. Through our Compute the Cure grants, we look to support projects that leverage computation to advance cancer research, diagnostics and/or treatment.


Previously Funded Initiatives


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 adaptive radiation therapy based cancer treatments. 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, Assistant Professor of Chemistry and Biochemistry, 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.