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The second class of Damon Runyon Quantitative Biology Fellows, announced this month, will apply the tools of computational biology to generate and interpret cancer research data at extraordinary scale and resolution. From RNA sequencing data that pinpoints tumor cells to their exact location to three-dimensional models of cell-cell interaction, their projects extend the boundaries of what is possible in cancer research, allowing them to tackle fundamental biological and clinical questions.
Each postdoctoral scientist selected for this unique three-year award will receive independent funding ($240,000 total) to train under the joint mentorship of an established computational scientist and a cancer biologist. The grant was created to encourage quantitative scientists (from fields such as mathematics, physics, computer science, and engineering) to pursue careers in cancer research. By investing in the intersection of wet and dry lab, Damon Runyon aims to address the nee