Orly Alter is a USTAR associate professor of bioengineering and human genetics at the Scientific Computing and Imaging Institute and the Huntsman Cancer Institute at the University of Utah.1  She completed her DOE/Sloan Foundation postdoctoral fellowship at the Department of Genetics at Stanford University, and received her Ph.D. in applied physics at Stanford University, and her B.Sc. magna cum laude in physics at Tel Aviv University. Her Ph.D. thesis on "Quantum Measurement of a Single System," which was published by Wiley-Interscience as a book,2,3,4  is recognized today as crucial to the field of gravitational wave detection.5,6 

Alter is breaking new ground in mathematics, genetics, and at the interface between the two fields, since her highly cited7  invention of the "eigengene."8,9 

At the interface, she pioneered both matrix10,11,12  and tensor13,14  modeling of large-scale molecular biological data, which, as she demonstrated, can be used to correctly predict previously unknown physical,15,16,17  cellular,18,19,20,21,22  and evolutionary23,24  mechanisms that govern the activity of DNA and RNA.25,26,27 

In mathematics, she developed the only framework that can create a single coherent model from multiple two-dimensional datasets, by extending the generalized singular value decomposition (GSVD) from two to more than two matrices.28,29,30

In genetics, her recent GSVD and tensor GSVD comparisons of the genomes of tumor and normal cells from the same sets of glioblastoma and lower-grade astrocytoma brain31,32,33  and, separately, ovarian34,35,36,37,38,39,40  cancer patients uncovered patterns of DNA copy-number alterations, which, as she showed, are correlated with a patient's survival and response to chemotherapy. For three decades prior, the best predictor of ovarian cancer survival was the tumor's stage; more than a quarter of ovarian tumors are resistant to the platinum-based chemotherapy, the first-line treatment, yet no diagnostic existed to distinguish resistant from sensitive tumors before the treatment. For five decades prior, the best prognostic indicator of glioblastoma was the patient's age at diagnosis. The ovarian and brain cancer data were published, but the patterns remained unknown until she applied her mathematical frameworks.

Alter is the principal investigator of a five-year, three million-dollar National Cancer Institute (NCI) Physical Sciences in Oncology U01 project grant.41,42  Additional support for her work comes from the Utah Science, Technology, and Research (USTAR) Initiative. Completed project grants include an NSF CAREER Award,43  and National Human Genome Research Institute (NHGRI) R01 and K01 awards.