Class of 2022
Scientific Areas of Interest: Cancer Genomics, Early Cancer Detection, Liquid Biopsies
For stellar contributions involving the discovery of genomic alterations in cancer cells and for developing non-invasive cancer detection technologies, including the first genome-wide sequence analysis in human cancer, Serial Analysis of Gene Expression (SAGE) and digital karyotyping, which have contributed to the identification of numerous cancer-related genes and pathways involved in tumorigenesis and individualized approaches for early cancer detection and diagnosis.