Author

M. Viard

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 2

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:flow cytometry· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

M. Carrington· 2 shared A. Charap· 1 shared A. M. Farkas· 1 shared A. O. Kamphorst· 1 shared B. Carter· 1 shared B. Lee· 1 shared B. Salome· 1 shared C. Hammer· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersImmunology

M. Carrington

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Author profile →

2 papers

Recent·Most cited

NKG2A and HLA-E define a novel alternative immune checkpoint axis in bladder cancer

B. Salome, J. P. Sfakianos, J. Daza, A. Charap, C. Hammer, R. Banchereau, A. M. Farkas, D. Geanon, G. Kelly, R. M. de Real, B. Lee, K. G. Beaumont, S. Shroff, Y. S. A. Wang, Y.-C. Wang, , Mariath

This study identifies NKG2A and HLA-E as an alternative immune checkpoint axis in bladder cancer, showing NKG2A+ CD8 T cells can bypass HLA-ABC loss through TCR-independent cytotoxicity.

bioRxiv · Mar 4, 2022 · PreprintImmunology

Robust computational design and evaluation of peptide vaccines for cellular immunity with application to SARS-CoV-2

G. Liu, B. Carter, T. Bricken, S. Jain, M. Viard, M. Carrington, D. K. Gifford

The paper develops a machine learning method to design peptide vaccines for SARS-CoV-2, achieving high predicted coverage and robustness against epitope drift.

bioRxiv · May 16, 2020Immunology