Orly Alter, Ph.D.

Affiliations: 
1991-1998 Applied Physics Stanford University, Palo Alto, CA 
 1998-2004 Genetics Stanford University, Palo Alto, CA 
 2004-2010 Biomedical Engineering, & Cellular & Molecular Biology University of Texas at Austin, Austin, Texas, U.S.A. 
 2010- Bioengineering, & Scientific Computing & Imaging University of Utah, Salt Lake City, UT 
 2010-2016 Mathematics University of Texas at Austin, Austin, Texas, U.S.A. 
 2011- Human Genetics University of Utah, Salt Lake City, UT 
 2016- Huntsman Cancer University of Utah, Salt Lake City, UT 
Area:
genetics, mathematics, physics
Website:
https://alterlab.org/orly/biography.html
Google:
"Orly Alter"
Bio:

https://orcid.org/0000-0002-0418-1078
https://scholar.google.com/citations?user=RKh11ecAAAAJ&hl=en

Orly Alter is a Utah Science, Technology, and Research associate professor of bioengineering and human genetics at the Scientific Computing and Imaging Institute [1] and the Huntsman Cancer Institute at the University of Utah, the principal investigator of a National Cancer Institute's Physical Sciences in Oncology project [2,3], and the chief technology officer and a co-founder of Eigengene, Inc. [4,5] Alter 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 [6,7,8], is recognized as crucial to quantum computing and gravitational wave detection [9,10,11].

Inventor of the "eigengene" [12,13,14,15], Alter formulates comparative spectral decompositions, physics-inspired multi-tensor [16,17] generalizations [18,19,20,21,22] of the singular value decomposition, to (i) compare and integrate any data types, of any number and dimensions, and (ii) scale with data sizes. Her models (iii) are interpretable in terms of known biology and batch effects and (iv) correctly [23] predict [24,25,26,27,28] previously unknown mechanisms [29,30]. By validating a genome-wide pattern of DNA copy-number alterations in brain [31,32,33,34,35] tumors as the best predictor of survival, her retrospective clinical trial [36,37] proved that the models (v) discover accurate, precise, and actionable genotype-phenotype relationships, (vi) are relevant to populations based upon whole genomes of small cohorts, and (vii) can be validated. She discovered this, and patterns in lung [38,39], nerve, ovarian [40,41,42,43,44,45], and uterine tumors, in public data. Such alterations were recognized in cancer, yet repeated previous attempts to associate them with outcome failed, demonstrating that Alter's algorithms are uniquely suited to personalized medicine.

1. https://alterlab.org/in_the_news/Johnson_SCI_News_2010_Feature.pdf
2. https://alterlab.org/physics_of_cancer/
3. https://physics.cancer.gov/research-funding/utah
4. https://eigengene.com/
5. https://linkedin.com/company/eigengene
6. https://onlinelibrary.wiley.com/doi/book/10.1002/9783527617128
7. https://alterlab.org/publications/Alter_Yamamoto_Wiley_2001.pdf
8. https://alterlab.org/presentations/Alter_Ph.D._Dissertation_1999_Slides.pdf
9. https://alterlab.org/in_the_news/Ripin_APS_News_1998_Feature.pdf
10. https://aps.org/publications/apsnews/199808/damop.cfm
11. https://alterlab.org/in_the_news/Thorne_et_al_PRD_2003_Citation.pdf
12. https://alterlab.org/publications/Alter_et_al_ATG_V_1999_Abstract.pdf
13. https://osti.gov/servlets/purl/803995
14. https://doi.org/10.1073/pnas.97.18.10101
15. https://en.wiktionary.org/wiki/Citations:eigengene
16. https://doi.org/10.1073/pnas.0509033102
17. https://doi.org/10.1073/pnas.0709146104
18. https://doi.org/10.1073/pnas.0530258100
19. https://alterlab.org/publications/Ponnapalli_et_al_MMDS_2006_Abstract.pdf
20. https://doi.org/10.1371/journal.pone.0028072
21. https://alterlab.org/research/highlights/pone.0028072_Highlight.pdf
22. https://doi.org/10.1371/journal.pone.0121396
23. https://doi.org/10.1038/msb.2009.70
24. https://alterlab.org/publications/Alter_et_al_MNBWS_2004.pdf
25. https://doi.org/10.1073/pnas.0406767101
26. https://doi.org/10.1371/journal.pone.0018768
27. https://doi.org/10.1073/pnas.0604756103
28. https://doi.org/10.1371/journal.pone.0078913
29. https://doi.org/10.1073/pnas.0607650103
30. https://alterlab.org/in_the_news/Alter_ILAS_Bulletin_2005_Feature.pdf
31. https://doi.org/10.1063/1.5037882
32. https://doi.org/10.1158/1538-7445.AM2018-4262
33. https://doi.org/10.1371/journal.pone.0164546
34. https://doi.org/10.1371/journal.pone.0030098
35. https://alterlab.org/research/highlights/pone.0030098_Highlight.pdf
36. https://doi.org/10.1063/1.5142559
37. https://eurekalert.org/news-releases/477030
38. https://doi.org/10.1063/1.5099268
39. https://doi.org/10.1158/1538-7445.AM2018-4267
40. https://eurekalert.org/news-releases/866753
41. https://alterlab.org/in_the_news/Atkins_NAE_WTOP_Radio_2015_Feature.mp3
42. https://nae.edu/File.aspx?id=134900&File.mp3
43. https://thepathologist.com/issues/0615/big-data-hidden-knowledge/
44. https://alterlab.org/in_the_news/Pavlou_Pathologist_2015_Feature.pdf
45. https://doi.org/10.1158/1557-3265.OVCA15-A60
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Parents

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Yoshihisa Yamamoto grad student 1999 Stanford
 (Impossibility of determining the quantum wavefunction of a single system and a fundamental limit to external force detection)
David Botstein post-doc 2004 Stanford (Cell Biology Tree)
Patrick O. Brown post-doc 2004 Stanford (FlyTree)

Children

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Joel R. Meyerson research assistant 2007 UT Austin
Andrew M. Gross research assistant 2010 UT Austin
Justin A. Drake research assistant 2011 UT Austin
Nicolas M. Bertagnolli research assistant 2014 University of Utah
Larsson Omberg grad student 2007 UT Austin
Kayta Kobayashi grad student 2008 UT Austin
Chaitanya Muralidhara grad student 2010 UT Austin
Sri Priya Ponnapalli grad student 2010 UT Austin
Jason M. Tennessen post-doc 2013 University of Utah (Neurotree)

Collaborators

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Jill S. Barnholtz-Sloan collaborator National Cancer Institute (MathTree)
Huanming Yang collaborator Beijing Genomics Institute (Chemistry Tree)
Gene H. Golub collaborator 2007 Stanford (MathTree)
John FX Diffley collaborator 2009 Francis Crick Institute (PombeTree)
Michael Saunders collaborator 2011 Stanford (MathTree)
Charles F. Van Loan collaborator 2011 Cornell (Computer Science Tree)
Cheryl Ann Palmer collaborator 2020 University of Utah (Neurotree)
Carl T. Wittwer collaborator 2020 University of Utah (BME Tree)
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Publications

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Ponnapalli SP, Bradley MW, Devine K, et al. (2020) Retrospective clinical trial experimentally validates glioblastoma genome-wide pattern of DNA copy-number alterations predictor of survival. Apl Bioengineering. 4: 026106
Bradley MW, Aiello KA, Ponnapalli SP, et al. (2019) GSVD- and tensor GSVD-uncovered patterns of DNA copy-number alterations predict adenocarcinomas survival in general and in response to platinum. Apl Bioengineering. 3: 036104
Alter O, Yamamoto Y. (2019) Protective measurement of the wave function of a single squeezed harmonic-oscillator state. Physical Review. a, Atomic, Molecular, and Optical Physics. 53: R2911-R2914
Aiello KA, Ponnapalli SP, Alter O. (2018) Mathematically universal and biologically consistent astrocytoma genotype encodes for transformation and predicts survival phenotype. Apl Bioengineering. 2
Aiello KA, Maughan CA, Schomay TE, et al. (2018) Abstract 4267: Patterns of DNA copy-number alterations revealed by the GSVD and tensor GSVD encode for cell transformation and predict survival and response to platinum in adenocarcinomas Cancer Research. 78: 4267-4267
Aiello KA, Alter O. (2016) Platform-Independent Genome-Wide Pattern of DNA Copy-Number Alterations Predicting Astrocytoma Survival and Response to Treatment Revealed by the GSVD Formulated as a Comparative Spectral Decomposition. Plos One. 11: e0164546
Alter O. (2016) Abstract A60: DNA copy-number alterations in primary ovarian serous cystadenocarcinoma encoding for cell transformation and predicting survival and response to platinum therapy throughout the course of the disease. Clinical Cancer Research. 22
Sankaranarayanan P, Schomay TE, Aiello KA, et al. (2015) Tensor GSVD of patient- and platform-matched tumor and normal DNA copy-number profiles uncovers chromosome arm-wide patterns of tumor-exclusive platform-consistent alterations encoding for cell transformation and predicting ovarian cancer survival. Plos One. 10: e0121396
Bertagnolli NM, Drake JA, Tennessen JM, et al. (2013) SVD identifies transcript length distribution functions from DNA microarray data and reveals evolutionary forces globally affecting GBM metabolism. Plos One. 8: e78913
Lee CH, Alpert BO, Sankaranarayanan P, et al. (2012) GSVD comparison of patient-matched normal and tumor aCGH profiles reveals global copy-number alterations predicting glioblastoma multiforme survival. Plos One. 7: e30098
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