Orly Alter - Google Scholar
Orly Alter - ORCiD Works



    Books

  1. O. Alter, Genomic Signal Processing: Discovery of Principles of Nature from Matrix and Tensor Modeling of Large-Scale Molecular Biological Data. New York, NY: Wiley (in preparation).

    Journal Papers

  1. S. P. Ponnapalli, M. W. Bradley, K. Devine, J. Bowen, S. E. Coppens, K. M. Leraas, B. A. Milash, F. Li, H. Luo, S. Qiu, K. Wu, H. Yang, C. T. Wittwer, C. A. Palmer, R. L. Jensen, J. M. Gastier-Foster, H. A. Hanson, J. S. Barnholtz-Sloan and O. Alter, "Retrospective Clinical Trial Experimentally Validates Glioblastoma Genome-Wide Pattern of DNA Copy-Number Alterations Predictor of Survival," Applied Physics Letters (APL) Bioengineering 4 (2), article 026106 (May 2020); doi: 10.1063/1.5142559.
    Press Release: J. Kiefer, "Genome-Wide Pattern Found in Tumors from Brain Cancer Patients Predicts Life Expectancy," American Association for the Advancement of Science (AAAS) EurekAlert! (May 15, 2020).
    Mention: Among the most shared Applied Physics Letters (APL) Bioengineering research as of 2021, APL Bioengineering (October 30, 2021).
  2. M. W. Bradley, K. A. Aiello, S. P. Ponnapalli,* H. A. Hanson* and O. Alter, "GSVD- and Tensor GSVD-Uncovered Patterns of DNA Copy-Number Alterations Predict Adenocarcinomas Survival in General and in Response to Platinum," Applied Physics Letters (APL) Bioengineering 3 (3), article 036104 (August 2019); doi: 10.1063/1.5099268.
  3. K. A. Aiello, S. P. Ponnapalli and O. Alter, "Mathematically Universal and Biologically Consistent Astrocytoma Genotype Encodes for Transformation and Predicts Survival Phenotype," Applied Physics Letters (APL) Bioengineering 2 (3), Special Topic: Bioengineering of Cancer invited article 031909 (September 2018); doi: 10.1063/1.5037882.
    Feature: A. J. Engler and D. E. Discher, "Rationally Engineered Advances in Cancer Research," Applied Physics Letters (APL) Bioengineering 2 (3), Special Topic: Bioengineering of Cancer preface 031601 (September 2018).
    Mention: Among the top 10 most downloaded Applied Physics Letters (APL) Bioengineering articles as of 2019, APL Bioengineering (May 14, 2019).
  4. K. A. Aiello and O. Alter, "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," Public Library of Science (PLoS) One 11 (10), article e0164546 (October 2016); doi: 10.1371/journal.pone.0164546.
  5. P. Sankaranarayanan,* T. E. Schomay,* K. A. Aiello and O. Alter, "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," Public Library of Science (PLoS) One 10 (4), article e0121396 (April 2015); doi: 10.1371/journal.pone.0121396.
    Press Release: J. Kiefer, "New Method Increases Accuracy of Ovarian Cancer Prognosis and Diagnosis," American Association for the Advancement of Science (AAAS) EurekAlert! (April 15, 2015).
    Feature: R. Atkins, "Calculating Cancer Cures," National Academy of Engineering (NAE) Innovation Podcast and Radio Series (April 19, 2015).1
    Feature: F. Pavlou, "Big Data, Hidden Knowledge," The Pathologist (June 15, 2015).2
  6. N. M. Bertagnolli, J. A. Drake, J. M. Tennessen and O. Alter, "SVD Identifies Transcript Length Distribution Functions from DNA Microarray Data and Reveals Evolutionary Forces Globally Affecting GBM Metabolism," Public Library of Science (PLoS) One 8 (11), article e78913 (November 2013); doi: 10.1371/journal.pone.0078913.
    Highlight.
  7. C. H. Lee,* B. O. Alpert,* P. Sankaranarayanan and O. Alter, "GSVD Comparison of Patient-Matched Normal and Tumor aCGH Profiles Reveals Global Copy-Number Alterations Predicting Glioblastoma Multiforme Survival," Public Library of Science (PLoS) One 7 (1), article e30098 (January 2012); doi: 10.1371/journal.pone.0030098.
    Highlight.
  8. S. P. Ponnapalli, M. A. Saunders, C. F. Van Loan and O. Alter, "A Higher-Order Generalized Singular Value Decomposition for Comparison of Global mRNA Expression from Multiple Organisms," Public Library of Science (PLoS) One 6 (12), article e28072 (December 2011); doi: 10.1371/journal.pone.0028072.
    Mention: Among the top 10% most cited Public Library of Science (PLoS) One articles as of 2017, PLoS One (June 30, 2017).
    Highlight.
  9. C. Muralidhara, A. M. Gross, R. R. Gutell and O. Alter, "Tensor Decomposition Reveals Concurrent Evolutionary Convergences and Divergences and Correlations with Structural Motifs in Ribosomal RNA," Public Library of Science (PLoS) One 6 (4), article e18768 (April 2011); doi: 10.1371/journal.pone.0018768.
    Highlight.
  10. L. Omberg, J. R. Meyerson, K. Kobayashi, L. S. Drury, J. F. X. Diffley and O. Alter, "Global Effects of DNA Replication and DNA Replication Origin Activity on Eukaryotic Gene Expression," Molecular Systems Biology (MSB) 5, article 312 (October 2009); doi: 10.1038/msb.2009.70.
    Press Release: B. Rische, "Mathematical Modeling Correctly Predicts Previously Unknown Biological Mechanism of Regulation," American Association for the Advancement of Science (AAAS) EurekAlert! (October 13, 2009).
    Recommendation: M. Méchali, Faculty Opinions recommendation 1728974 (February 2010).
    Highlight.
  11. L. Omberg, G. H. Golub and O. Alter, "A Tensor Higher-Order Singular Value Decomposition for Integrative Analysis of DNA Microarray Data from Different Studies," Proceedings of the National Academy of Sciences (PNAS) USA 104 (47), pp. 18371–18376 (November 2007); doi: 10.1073/pnas.0709146104.
  12. O. Alter and G. H. Golub, "Singular Value Decomposition of Genome-Scale mRNA Lengths Distribution Reveals Asymmetry in RNA Gel Electrophoresis Band Broadening," Proceedings of the National Academy of Sciences (PNAS) USA 103 (32), pp. 11828–11833 (August 2006); doi: 10.1073/pnas.0604756103.
  13. O. Alter and G. H. Golub, "Reconstructing the Pathways of a Cellular System from Genome-Scale Signals by Using Matrix and Tensor Computations," Proceedings of the National Academy of Sciences (PNAS) USA 102 (49), pp. 17559–17564 (November 2005); doi: 10.1073/pnas.0509033102.
  14. O. Alter and G. H. Golub, "Integrative Analysis of Genome-Scale Data by Using Pseudoinverse Projection Predicts Novel Correlation between DNA Replication and RNA Transcription," Proceedings of the National Academy of Sciences (PNAS) USA 101 (47), pp. 16577–16582 (November 2004); doi: 10.1073/pnas.0406767101.
  15. O. Alter, P. O. Brown and D. Botstein, "Generalized Singular Value Decomposition for Comparative Analysis of Genome-Scale Expression Datasets of Two Different Organisms," Proceedings of the National Academy of Sciences (PNAS) USA 100 (6), pp. 3351–3356 (March 2003); doi: 10.1073/pnas.0530258100.
    Feature: J. Wixon and J. Ashurst, "Genome Informatics," Comparative and Functional Genomics 4 (5), pp. 509–514 (October 2003).
    Feature: M. E. Kilmer and C. D. Moravitz Martin, "Decomposing a Tensor," Society for Industrial and Applied Mathematics (SIAM) News 37 (9), (November 2004).3
  16. S. P. Bohen, O. G. Troyanskaya, O. Alter, R. Warnke, D. Botstein, P. O. Brown and R. Levy, "Variation in Gene Expression Patterns in Follicular Lymphoma and the Response to Rituximab," Proceedings of the National Academy of Sciences (PNAS) USA 100 (4), pp. 1926–1930 (February 2003); doi: 10.1073/pnas.0437875100.
  17. T. Nielsen, R. B. West, S. C. Linn, O. Alter, M. A. Knowling, J. O'Connell, S. Zhu, M. Fero, G. Sherlock, J. R. Pollack, P. O. Brown, D. Botstein and M. van de Rijn, "Molecular Characterisation of Soft Tissue Tumours: a Gene Expression Study," Lancet 359 (9314), pp. 1301–1307 (April 2002); doi: 10.1016/S0140-6736(02)08270-3.
    Commentary: L. Y. Dirix and A. T. van Oosterom, "Gene-Expression Profiling to Classify Soft-Tissue Sarcomas," Lancet 359 (9314), pp. 1263–1264 (April 2002).
  18. O. Alter, P. O. Brown and D. Botstein, "Singular Value Decomposition for Genome-Wide Expression Data Processing and Modeling," Proceedings of the National Academy of Sciences (PNAS) USA 97 (18), pp. 10101–10106 (August 2000); doi: 10.1073/pnas.97.18.10101.
    Feature: National Research Council, Mathematics and 21st Century Biology. Washington, DC: National Academies Press (July 2005), 149 pp.
    Mention: Top ten most cited Proceedings of the National Academy of Sciences (PNAS) USA paper of the year 2000 and top 50 most cited PNAS paper of all time, Google Scholar (April 12, 2024).

    Commentaries

  1. O. Alter, "Discovery of Principles of Nature from Mathematical Modeling of DNA Microarray Data," Proceedings of the National Academy of Sciences (PNAS) USA 103 (44), pp. 16063–16064 (October 2006); doi: 10.1073/pnas.0607650103.

    Book Chapters

  1. O. Alter, "Genomic Signal Processing: From Matrix Algebra to Genetic Networks." In: M. J. Korenberg, editor, Microarray Data Analysis: Methods and Applications. Berlin, Germany: Springer Nature, Methods in Molecular Biology (MIMB), vol. 377, pp. 17–59 (May 2007); doi: 10.1007/978-1-59745-390-5_2.
  2. O. Alter, P. O. Brown and D. Botstein, "Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition." In: M. L. Bittner, Y. Chen, A. N. Dorsel and E. R. Dougherty, editors, Microarrays: Optical Technologies and Informatics. Bellingham, WA: International Society for Optics and Photonics (SPIE), vol. 4266, pp. 171–186 (January 21, 2001); doi: 10.1117/12.427986.

    Technical Reports

  1. O. Alter, E. Newman, S. P. Ponnapalli and J. W. Tsai, "AI/ML-Derived Mechanistically Interpretable Whole-Genome Biomarkers of Patient Survival in Pre-Treatment Primary Neuroblastoma Tumors and Whole Blood," 2024 American Society of Clinical Oncology (ASCO) Annual Meeting (Chicago, IL, May 31 – June 4, 2024). Alexandria, VA: ASCO (May 2024); doi: 10.1200/JCO.2024.42.16_suppl.10043.
  2. O. Alter, S. P. Ponnapalli, J. W. Tsai, P. Miron, K. L. S. Miskimen, K. A. Waite, N. Sosonkina, S. E. Coppens, A. C. Bryan, E. P. Kiernan, H. Yang, J. Bowen, G. A. Nakouzi, J. S. Barnholtz-Sloan, A. E. Sloan and T. R. Hodges, "Prospective Validation from a Retrospective Trial That Validated an AI/ML-Derived Whole-Genome Biomarker as the Most Accurate and Precise Predictor of Survival and Response to Treatment in Glioblastoma," 2024 American Society of Clinical Oncology (ASCO) Annual Meeting (Chicago, IL, May 31 – June 4, 2024). Alexandria, VA: ASCO (May 2024); doi: 10.1200/JCO.2024.42.16_suppl.e14028.
  3. S. P. Ponnapalli, P. Miron, K. L. S. Miskimen, K. A. Waite, N. Sosonkina, S. E. Coppens, A. C. Bryan, E. P. Kiernan, H. Yang, J. Bowen, G. A. Nakouzi, J. S. Barnholtz-Sloan, A. E. Sloan, T. R. Hodges and O. Alter, "Prospective and Clinical Prediction in a Retrospective Trial That Experimentally Validated an AI/ML-Derived Whole-Genome Predictor as the Most Accurate and Precise Predictor of Survival and Response to Treatment in Glioblastoma," American Association for Cancer Research (AACR) Special Conference in Cancer Research: Brain Cancer (Minneapolis, MN, October 19–22, 2023). Philadelphia, PA: AACR (March 2024); doi: 10.1158/1538-7445.BRAIN23-A031.
  4. S. P. Ponnapalli, P. Miron, K. L. S. Miskimen, K. A. Waite, N. Sosonkina, S. E. Coppens, A. C. Bryan, E. P. Kiernan, H. Yang, J. Bowen, G. A. Nakouzi, J. S. Barnholtz-Sloan, A. E. Sloan, T. R. Hodges and O. Alter, "AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer," Supercomputing 2023 (SC23) 9th National Cancer Institute (NCI) Computational Approaches for Cancer Workshop (CAFCW) (Denver, CO, November 12–17, 2023).4,5  New York, NY: Association for Computing Machinery (ACM) (November 2023); doi: 10.1145/3624062.3624078.
  5. O. Alter and S. P. Ponnapalli, "Mathematical Discovery and Computational Validation of Two Orthogonal Mechanistically-Driven Whole-Genome Genotype–Survival Phenotype Relationships in Pediatric Neuroblastoma Nerve Cancer," Supercomputing 2022 (SC22) 8th National Cancer Institute (NCI) Computational Approaches for Cancer Workshop (CAFCW) (Dallas, TX, November 13–18, 2022).6,7
  6. K. A. Aiello, S. P. Ponnapalli and O. Alter, "Mathematically Universal and Biologically Consistent Astrocytoma Genotype Encodes for Transformation and Predicts Survival Phenotype," 2018 American Association for Cancer Research (AACR) Annual Meeting (Chicago, IL, April 14–18, 2018). Philadelphia, PA: AACR (July 2018); doi: 10.1158/1538-7445.AM2018-4262.
  7. K. A. Aiello, C. A. Maughan, T. E. Schomay, S. P. Ponnapalli, H. A. Hanson and O. Alter, "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," 2018 American Association for Cancer Research (AACR) Annual Meeting (Chicago, IL, April 14–18, 2018). Philadelphia, PA: AACR (July 2018); doi: 10.1158/1538-7445.AM2018-4267.
  8. O. Alter, "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," American Association for Cancer Research (AACR) Special Conference on Advances in Ovarian Cancer Research: Exploiting Vulnerabilities (Orlando, FL, October 17–20, 2015). Philadelphia, PA: AACR (January 2016); doi: 10.1158/1557-3265.OVCA15-A60.
  9. C. H. Lee and O. Alter, "Known and Novel Copy-Number Alterations in GBM and Their Patterns of Co-Occurrence are Revealed by GSVD Comparison of Array CGH Data from Patient-Matched Normal and Tumor TCGA Samples," American Society of Human Genetics (ASHG) 60th Annual Meeting (Washington, DC, November 2–6, 2010).8,9
  10. J. A. Drake and O. Alter, "Singular Value Decomposition Uncovers Possible Modes for Evolution to Shape the Distributions of mRNA Lengths of Subsets of Genes," Rao Conference at the Interface between Statistics and the Sciences (Hyderabad, India, December 30, 2009 – January 2, 2010), Rao Best Poster Prize.10
  11. S. P. Ponnapalli, G. H. Golub and O. Alter, "A Novel Higher-Order Generalized Singular Value Decomposition for Comparative Analysis of Multiple Genome-Scale Datasets," Stanford University and Yahoo! Research Workshop on Algorithms for Modern Massive Datasets (MMDS) (Stanford, CA, June 21–24, 2006).11,12
  12. O. Alter, G. H. Golub, P. O. Brown and D. Botstein, "Novel Genome-Scale Correlation between DNA Replication and RNA Transcription During the Cell Cycle in Yeast is Predicted by Data-Driven Models." In: M. P. Deutscher, S. Black, P. E. Boehmer, G. D'Urso, T. Fletcher, F. Huijing, A. Marshall, B. Pulverer, B. Renault, J. D. Rosenblatt, J. M. Slingerland and W. J. Whelan, editors, Miami Nature Biotechnology Winter Symposium: Cell Cycle, Chromosomes and Cancer. Miami Beach, FL: University of Miami School of Medicine, vol. 15 (January 31 – February 4, 2004).13
  13. O. Alter, P. O. Brown and D. Botstein, "Singular Value Decomposition for Gene Expression Data Processing and Modeling," After the Genome V (Jackson Hole, WY, October 6–10, 1999). Washington, DC: U.S. Department of Energy (DOE) Office of Science (October 1999).14,15

    Patents

  1. O. Alter, "Genetic Alterations in Glioblastoma," European Patent EP 2773777 A4 (Issued May 2020).
  2. O. Alter, "Genetic Alterations in Glioma," United States Patent US 10202643 B2 (Issued February 2019).
  3. O. Alter, "Advanced Tensor Decompositions for Computational Assessment and Prediction from Data," United States Nationalized Patent Cooperation Treaty (PCT) US 20180301223 A1 (Filed April 2016).
  4. O. Alter, "Genetic Alterations in Ovarian Cancer," United States Nationalized PCT US 20180122507 A1 (Filed April 2016).
  5. O. Alter, "Genomic Tensor Analysis for Medical Assessment and Prediction," United States Nationalized PCT US 20140249762 A1 (Priority filed September 2012).
  6. O. Alter, "Genomic Tensor Analysis for Medical Assessment and Prediction," European Nationalized PCT EP 2754077 A4 (Filed September 2012).

    Copyrighted Software

  1. © S. P. Ponnapalli and O. Alter 2020, "Retrospective Clinical Trial Experimentally Validates Glioblastoma Genome-Wide Pattern of DNA Copy-Number Alterations Predictor of Survival;" https://alterlab.org/GBM_retrospective_clinical_trial/.
  2. © M. W. Bradley, S. P. Ponnapalli, H. A. Hanson and O. Alter 2019, "GSVD- and Tensor GSVD-Uncovered Patterns of DNA Copy-Number Alterations Predict Adenocarcinomas Survival in General and in Response to Platinum;" https://alterlab.org/adenocarcinomas_genotype-phenotype/.
  3. © K. A. Aiello, S. P. Ponnapalli and O. Alter 2018, "Mathematically Universal and Biologically Consistent Astrocytoma Genotype Encodes for Transformation and Predicts Survival Phenotype;" https://alterlab.org/astrocytoma_genotype-phenotype/.
  4. © K. A. Aiello and O. Alter 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;" https://alterlab.org/astrocytoma_prognosis/.
  5. © P. Sankaranarayanan, T. E. Schomay, K. A. Aiello and O. Alter 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;" https://alterlab.org/OV_prognosis/.
  6. © N. M. Bertagnolli, J. A. Drake and O. Alter 2013, "SVD Identifies Transcript Length Distribution Functions from DNA Microarray Data and Reveals Evolutionary Forces Globally Affecting GBM Metabolism;" https://alterlab.org/GBM_metabolism/.
  7. © B. O. Alpert and O. Alter 2012, "GSVD Comparison of Patient-Matched Normal and Tumor aCGH Profiles Reveals Global Copy-Number Alterations Predicting Glioblastoma Multiforme Survival;" https://alterlab.org/GBM_prognosis/.
  8. © S. P. Ponnapalli and O. Alter 2011, "A Higher-Order Generalized Singular Value Decomposition for Comparison of Global mRNA Expression from Multiple Organisms;" https://alterlab.org/HO_GSVD/.
  9. © A. M. Gross and O. Alter 2011, "Tensor Decomposition Reveals Concurrent Evolutionary Convergences and Divergences and Correlations with Structural Motifs in Ribosomal RNA;" https://alterlab.org/rRNA/.
  10. © O. Alter 2009, "Global Effects of DNA Replication and DNA Replication Origin Activity on Eukaryotic Gene Expression;" https://alterlab.org/verification_of_prediction/.
  11. © O. Alter 2007, "A Tensor Higher-Order Singular Value Decomposition for Integrative Analysis of DNA Microarray Data from Different Studies;" https://alterlab.org/HOSVD/.
  12. © O. Alter 2006, "Singular Value Decomposition of Genome-Scale mRNA Lengths Distribution Reveals Asymmetry in RNA Gel Electrophoresis Band Broadening;" https://alterlab.org/harmonic_oscillator/.
  13. © O. Alter 2005, "Reconstructing the Pathways of a Cellular System from Genome-Scale Signals by Using Matrix and Tensor Computations;" https://alterlab.org/network_decomposition/.
  14. © O. Alter 2004, "Integrative Analysis of Genome-Scale Data by Using Pseudoinverse Projection Predicts Novel Correlation between DNA Replication and RNA Transcription;" https://alterlab.org/pseudoinverse/.
  15. © O. Alter 2003, "Generalized Singular Value Decomposition for Comparative Analysis of Genome-Scale Expression Datasets of Two Different Organisms;" https://alterlab.org/GSVD/.
  16. © O. Alter 2001, "Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition;" https://alterlab.org/SVD/.
  17. © O. Alter 2000, "Singular Value Decomposition for Genome-Wide Expression Data Processing and Modeling;" https://alterlab.org/singular_value_decomposition/.

    Invited International Webinars since 2015

    O. Alter, "Multi-Tensor Decompositions for Personalized Cancer Diagnostics, Prognostics, and Therapeutics"

  1. Amazon Web Services (AWS) Education Research Webinar (January 30, 2020), hosted by M. L. Collinson.

    Plenary and Keynote Lectures and Invited Talks and Tutorials at International Meetings since 2015

    O. Alter, "Multi-Tensor AI/ML Uniquely Able to Identify Actionable and Mechanistically Interpretable Predictors from Small-Cohort and Noisy High-Dimensional Multi-Omic Clinical Data"

  1. 2025 Society for Industrial and Applied Mathematics (SIAM) Conference on Computational Science and Engineering (CSE25) (Fort Worth, TX, March 3–7, 2025).
  2. 25th Advances in Genome Biology and Technology (AGBT) General Meeting (Marco Island, FL, February 23–26, 2025).
  3. 2024 BrainStorm Summit: End Childhood Cancer (Washington, DC, September 19–21, 2024).
  4. Precision Medicine World Conference (PMWC) 2024 (Santa Clara, CA, January 24–26, 2024).

    O. Alter, "Solving Cancer with Data: Mathematical Discovery and Computational and Experimental Validation of Whole-Genome Predictors of Survival and Response to Treatment in Cancer"

  1. National Cancer Institute (NCI) Joint Meeting of the Cancer Systems Biology Consortium (CSBC) and the Physical Sciences in Oncology Network (PS-ON) (Bethesda, MD, November 6–9, 2023).
  2. International High-Performance Computing (HPC) Summer School 2023 on HPC Challenges in Computational Sciences (Atlanta, GA, July 9–14, 2023).
  3. 3rd Gordon Research Conference on the Physics of Cancer (Galveston, TX, February 5–10, 2023).
    O. Alter, "Multi-Tensor Decompositions for Personalized Cancer Medicine"

  1. 2022 SIAM Conference on Mathematics of Data Science (MDS22) (San Diego, CA, September 26–30, 2022).
  2. HPC Summer School 2022 on HPC Challenges in Computational Sciences (Athens, Greece, June 19–24, 2022).
  3. 24th International Linear Algebra Society (ILAS) Meeting (Galway, Ireland, June 19–24, 2022).
    O. Alter, "Comparative Spectral Decompositions for Personalized Cancer Diagnostics, Prognostics, and Therapeutics"

  1. 26th Society for Neuro-Oncology (SNO) Annual Meeting (Boston, MA, November 18–21, 2021).

  1. 2021 SIAM Virtual Conference on Applied Algebraic Geometry (August 16–20, 2021).
  2. International HPC Virtual Summer School 2021 on HPC Challenges in Computational Sciences (July 18–30, 2021).
  3. Decade of the PS-ON at the NCI Virtual Symposium (September 21–23, 2020).

  1. 2020 American Association for Cancer Research (AACR) Virtual Annual Meeting II (June 22–24, 2020).

  1. NCI Physical Sciences in Oncology Symposium (Minneapolis, MN, September 18–20, 2019).

Orly Alter from the @UUtah PS-OP ÒRetrospective clinical trial revalidates glioblastoma DNA copy-number genotype predictor of survival phenotype #2019PSON pic.twitter.com/YUGjEGhSFJ

— NCI PhysicalSciences (@NCIPhySci) September 20, 2019
  1. Los Alamos National Laboratory, Sandia National Laboratories, NSF, and University of California San Diego Workshop on Artificial Intelligence and Tensor Factorizations for Physical, Chemical, and Biological Systems (Santa Fe, NM, September 17–20, 2019).
  2. International Congress on Industrial and Applied Mathematics (ICIAM) 2019 (Valencia, Spain, July 15–19, 2019).
  3. 2018 Biomedical Engineering Society (BMES) Annual Meeting (Atlanta, GA, October 27–20, 2018).
  4. NCI Joint Meeting of the CSBC and the PS-ON (Bethesda, MD, September 25–28, 2018).
  5. European Association for Signal Processing (EURASIP) Summer School on Tensors in Medicine (Leuven, Belgium, August 27–31, 2018).
  6. 2018 SIAM Annual Meeting (Portland, OR, July 9–13, 2018).
  7. 14th International Conference on Latent Variable Analysis and Signal Separation (LVA ICA 2018) (Guildford, United Kingdom, July 2–6, 2018).
  8. 9th Multidisciplinary Conference on Three-Way Methods in Chemistry and Psychology (TRICAP) (Angel Fire, NM, June 10–15, 2018).
  9. 3rd Nordic Institute for Theoretical Physics (NORDITA) Meeting on Quantitative Perspectives on Cancer (Stockholm, Sweden, May 28 – June 1, 2018).
  10. 2018 SIAM Conference on Applied Linear Algebra (SIAM-ALA18) (Hong Kong, China, May 4–8, 2018).
  11. 2017 SIAM Conference on Applied Algebraic Geometry (Atlanta, GA, July 31 – August 4, 2017).
  12. International HPC Summer School 2017 on HPC Challenges in Computational Sciences (Boulder, CO, June 25–30, 2017).
  13. 1st Gordon Research Conference on the Physics of Cancer (Galveston, TX, February 5–10, 2017).
  14. Australian Mathematical Sciences Institute (AMSI) BioInfoSummer 2016 (Adelaide, SA, Australia, November 28 – December 2, 2016).
  15. NCI Joint Meeting of the CSBC and the PS-ON (Rockville, MD, August 29–31, 2016).
  16. 20th ILAS Meeting (Leuven, Belgium, July 11–15, 2016).
  17. 2016 SIAM Annual Meeting (Boston, MA, July 11–14, 2016).
  18. International HPC Summer School 2016 on HPC Challenges in Computational Sciences (Ljubljana, Slovenia, June 26 – July 1, 2016).
  19. NCI Physical Sciences in Oncology Symposium (Rockville, MD, February 2–3, 2016).
  20. 2016 Tensor Decompositions and Applications (TDA) Workshop (Leuven, Belgium, January 18–22, 2016).
  21. 2015 Joint Statistical Meetings (JSM) (Seattle, WA, August 8–13, 2015).
  22. International HPC Summer School 2015 on HPC Challenges in Computational Sciences (Toronto, Canada, June 21–26, 2015).
  23. Joint Applied Mathematics, Modeling and Computational Science and Canadian Applied and Industrial Mathematics Society (AMMCS-CAIMS) Congress (Waterloo, Canada, June 7–12, 2015).
  24. 8th Multidisciplinary Conference on Three-Way Methods in Chemistry and Psychology (TRICAP) (Zoldo Alto, Italy, May 31 – June 5, 2015).

    Invited Presentations at Other Institutions since 2015

    O. Alter, "Multi-Tensor Decompositions for Personalized Cancer Medicine"

  1. Tel Aviv University Department of Mathematics Seminar (Tel Aviv, Israel, April 5, 2022), hosted by H. Avron and D. Batenkov.
  2. University of Southern California Ellison Institute for Transformative Medicine (EITM) Seminar (Santa Monica, CA, March 10, 2022), hosted by D. B. Agus and A. D. Barker.

Thank you to Dr. @OrlyAlter of @UUtah for joining us at the #EllisonInstitute today for a seminar on the formulation and development of physics-inspired multi-tensor generalizations! pic.twitter.com/aoNfjlGbpB

— Ellison Institute (@ellisoninst) March 10, 2022
    O. Alter, "Multi-Tensor Decompositions for Personalized Cancer Diagnostics, Prognostics, and Therapeutics"

  1. Moffitt Cancer Center Integrated Mathematical Oncology Virtual Seminar (June 24, 2021), hosted by A. R. A. Anderson and D. G. Basanta.
  2. University of Chicago Computational and Applied Mathematics Virtual Colloquium (February 11, 2021), hosted by L.-H. Lim and D. Sanz-Alonso.
  3. Linear Algebra and Optimization Seminar, Stanford University Institute for Computational and Mathematical Engineering (ICME) (Stanford, CA, January 16, 2020), hosted by M. A. Saunders.

  1. Northwestern University Chemistry of Life Processes Institute Seminar (Evanston, IL, June 5, 2019), hosted by T. V. O'Halloran.
  2. Beijing Genomics Institute (BGI) and China National GeneBank Seminar (Shenzhen, China, May 9, 2018), hosted by K. Wu.
  3. Georgia Institute of Technology Computational Science and Engineering Seminar (Atlanta, GA, March 29, 2018), hosted by S. Aluru.
  4. Michigan State University Science at the Edge Seminar (East Lansing, MI, October 13, 2017), hosted by C. Piermarocchi.
  5. University of Oxford Mathematical Institute Seminar on the Mathematics of Data Science (Oxford, United Kingdom, July 3, 2017), hosted by U. L. Tillmann.
  6. Boston University Systems Biology Seminar (Boston, MA, March 16, 2017), hosted by S. Kasif and E. D. Kolaczyk.
  7. University of Pennsylvania Physical Sciences in Oncology Center Seminar (Philadelphia, PA, March 13, 2017), hosted by D. E. Discher.
  8. Jošef Stefan Institute Colloquium (Ljubljana, Slovenia, June 29, 2016), hosted by P. Ziherl and A. Studen.