Author

Mia L. Greeson

Stanford MedicineORCID 0000-0002-9439-288XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:proteomics· 1 Approach:statistical model· 1 Organism:virus· 1

Frequent Co-Authors

Alessandra Franzetti-PellandaiD· 1 shared Andrea CavalliiD· 1 shared Angelina A. MullarkeyiD· 1 shared Annalisa Sanga· 1 shared Benedetta CenaiD· 1 shared Christian GarzoniiD· 1 shared Christopher O. BarnesiD· 1 shared Concetta GuerraiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperImmunology

Alessandra Franzetti-PellandaORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintSep 9, 2026

Dissociation kinetics and avidity gate SARS-CoV-2 neutralization by HR2 stem helix antibodies

Virginia Crivelli, Concetta Guerra, Morgan E. Abernathy…·Andrea Cavalli

This study identifies hr2.016, a potent and broad SARS-CoV-2 neutralizing antibody, and shows its neutralization depends on kinetic stability and avidity.

DOI 10.64898/2026.08.17.745160

virusexperimental assay

𝕏 PostBluesky

BiochemistrybioRxivPreprintJun 27, 2026

Systematic optimization and benchmarking of synchro-PASEF for high-throughput phosphoproteome profiling

Dain R. Brademan, Angelina A. Mullarkey, Mia L. Greeson…·Ruth Hüttenhain

This paper optimizes and benchmarks synchro-PASEF for phosphoproteomics, showing improved identification and quantification with retention time summation, and comparable performance to dia-PASEF in modeling phosphosignaling.

DOI 10.64898/2026.06.26.734570

proteomicsdeep learning

𝕏 PostBluesky