Class of 2024
For fundamental contributions to cancer genomics, including developing analytical tools for somatic mutation detection, establishing gene mutation signatures as fundamental pillars of cancer evolution, and creating statistical and computational methodologies by which to characterize cancer heterogeneity, point mutations and copy number variations, and identify novel cancer drivers.
*Full-length biography pending