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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:

Bio:

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

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Parents

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

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

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)

BETA: Related publications

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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