Alex Rubinsteyn

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Citations	1171	1044
h-index	15	14
i10-index	21	17

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Timothy O'DonnellMount Sinai School of MedicineVerified email at mssm.edu
Jeff HammerbacherPrincipal Investigator at Hammer LabVerified email at hammerlab.org
Julia KodyshOpenVax @ Icahn School of Medicine at Mount SinaiVerified email at openvax.org
Uri LasersonPatch BiosciencesVerified email at patch.bio
John P. Finnigan, Jr.Brigham and Women's HospitalVerified email at bwh.harvard.edu
Lakshminarayanan SubramanianProfessor of Computer Science, Courant Institute, New York UniversityVerified email at cs.nyu.edu
Arun AhujaGoogle Deepmind, Mount Sinai School of Medicine, Northwestern UniversityVerified email at google.com
Bulent Arman AksoyObsidian TherapeuticsVerified email at aksoy.org
Tavi NathansonSequence SoftwareVerified email at sequencesoftware.io
Jedd WolchokChief, Melanoma and Immunotherapeutics, MSKCCVerified email at mskcc.org
Taha MerghoubAssociate Professor, MSKVerified email at mskcc.org
Matthew HellmannMemorial Sloan Kettering Cancer CenterVerified email at mskcc.org
Dennis ShashaProfessor of Computer Science, New York University/ Associate Director, NYU WIRELESSVerified email at courant.nyu.edu
Russell PowerNew York UniversityVerified email at cs.nyu.edu
Eliezer Van AllenDana-Farber Cancer InstituteVerified email at dfci.harvard.edu
Eric Karl OermannNew York UniversityVerified email at georgetown.edu
Robert M. Starke MD, MScDepartment of Neurosurgery & Radiology, Miami Miller School of Medicine, Miami University HospitalVerified email at med.miami.edu
Dale DingUniversity of LouisvilleVerified email at ulp.org
Dade LunsfordProfessor UPMCVerified email at upmc.edu
Justin MascitelliUniversity of Texas Health and Science Center, Department of NeurosurgeryVerified email at uthscsa.edu

Alex Rubinsteyn

University of North Carolina - Chapel Hill

Verified email at openvax.org - Homepage

Machine Learning Immunology Genomics Cancer Vaccines


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MHCflurry: open-source class I MHC binding affinity prediction TJ O'Donnell, A Rubinsteyn, M Bonsack, AB Riemer, U Laserson, ... Cell systems 7 (1), 129-132. e4, 2018	288	2018
Defining HLA-II ligand processing and binding rules with mass spectrometry enhances cancer epitope prediction JG Abelin, D Harjanto, M Malloy, P Suri, T Colson, SP Goulding, ... Immunity 51 (4), 766-779. e17, 2019	144	2019
MHCflurry 2.0: improved pan-allele prediction of MHC class I-presented peptides by incorporating antigen processing TJ O’Donnell, A Rubinsteyn, U Laserson Cell systems 11 (1), 42-48. e7, 2020	135	2020
Somatic Mutations and Neoepitope Homology in Melanomas Treated with CTLA-4 BlockadeMutations and Neoepitopes in Melanoma T Nathanson, A Ahuja, A Rubinsteyn, BA Aksoy, MD Hellmann, D Miao, ... Cancer immunology research 5 (1), 84-91, 2017	100	2017
Using a machine learning approach to predict outcomes after radiosurgery for cerebral arteriovenous malformations EK Oermann, A Rubinsteyn, D Ding, J Mascitelli, RM Starke, JB Bederson, ... Scientific reports 6 (1), 21161, 2016	85	2016
Parakeet: A Just-In-Time Parallel Accelerator for Python A Rubinsteyn, N Weinman, E Hielscher, D Shasha HotPar 2012, 2012	50	2012
Computational pipeline for the PGV-001 neoantigen vaccine trial A Rubinsteyn, J Kodysh, I Hodes, S Mondet, BA Aksoy, JP Finnigan, ... Frontiers in immunology 8, 1807, 2018	46	2018
Landscape and selection of vaccine epitopes in SARS-CoV-2 CC Smith, KS Olsen, KM Gentry, M Sambade, W Beck, J Garness, ... Genome medicine 13 (1), 101, 2021	31	2021
Bioinformatic methods for cancer neoantigen prediction S Boegel, JC Castle, J Kodysh, T O'Donnell, A Rubinsteyn Progress in molecular biology and translational science 164, 25-60, 2019	24	2019
scikit-cuda 0.5. 1: a Python interface to GPU-powered libraries. 2015. doi: 10.5281/zenodo. 40565 LE Givon, T Unterthiner, NB Erichson, DW Chiang, E Larson, L Pfister, ... Accessed, 2017	24*	2017
fancyimpute: An imputation library for python A Rubinsteyn, S Feldman URL https://github. com/iskandr/fancyimpute, 2016	24	2016
Learning random forests on the GPU Y Liao, A Rubinsteyn, R Power, J Li NIPS workshop on parallel and large-scale machine learning (Big Learning), 2013	20	2013
Vaxrank: a computational tool for designing personalized cancer vaccines A Rubinsteyn, I Hodes, J Kodysh, J Hammerbacher bioRxiv, 142919, 2017	19	2017
Predicting peptide-MHC binding affinities with imputed training data A Rubinsteyn, T O'Donnell, N Damaraju, J Hammerbacher bioRxiv, 054775, 2016	18	2016
Recognizing currency bills using a mobile phone: an assistive aid for the visually impaired N Paisios, A Rubinsteyn, V Vyas, L Subramanian Proceedings of the 24th annual ACM symposium adjunct on User interface …, 2011	18	2011
Exchanging cash with no fear: A fast mobile money reader for the blind N Paisios, A Rubinsteyn, L Subramanian Workshop on Frontiers in Accessibility for Pervasive Computing. ACM, 2012	15	2012
Somatic mutations and neoepitope homology in melanomas treated with CTLA-4 blockade. Cancer Immunol Res. 2017; 5: 84–91. doi: 10.1158/2326-6066 T Nathanson, A Ahuja, A Rubinsteyn, BA Aksoy, MD Hellmann, D Miao, ... CIR-16-0019.[Europe PMC free article][Abstract][CrossRef][Google Scholar], 0	14
OpenVax: an open-source computational pipeline for cancer neoantigen prediction J Kodysh, A Rubinsteyn Bioinformatics for Cancer Immunotherapy: Methods and Protocols, 147-160, 2020	13	2020
Mutation-derived tumor antigens: novel targets in cancer immunotherapy JP Finnigan Jr, A Rubinsteyn, J Hammerbacher, N Bhardwaj Oncology 29 (12), 970-970, 2015	13	2015
How fast can we make interpreted Python? R Power, A Rubinsteyn	12*

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