Author

Hannah Giba

University of Chicago

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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Cancer Biology· 1 Pathology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Arjun S. RamaniD· 3 shared Vivek BeheraiD· 3 shared Benjamin A. DoraniD· 2 shared Aaron T. MayeriD· 1 shared Ahmad MakkyiD· 1 shared Alessandra EspositoiD· 1 shared Alexander GuzzettaiD· 1 shared Alexandro E. TrevinoiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersCancer Biology

Arjun S. RamanORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Conserved principles of spatial biology define tumor heterogeneity and response to immunotherapy

Vivek Behera, Alexander Guzzetta, Hannah Giba, Ue-Yu Pen, Anna Di Lello, Bipul Pandey, Benjamin A. Doran, Alessandra Esposito, Apameh Pezeshk, Aliya Husain, Christine M. Bestvina, Justin Paul Kline, Marina C. Garassino, Arjun Raman

This study identifies conserved spatial structures in tumors that predict immune response, using a classification framework based on transcriptional covariation.

Cell Reports Medicine · Aug 28, 2026Peer-reviewedCancer Biology

ROSIE: AI generation of multiplex immunofluorescence staining from histopathology images

Eric Wu, Matthew F Bieniosek, Zhenqin Wu, Nitya Thakkar, Gregory W. Charville, Ahmad Makky, Christian M. Schürch, Jeroen R. Huyghe, Ulrike Peters, Christopher I. Li, Li Li, Hannah Giba, Vivek Behera, Arjun S. Raman, Alexandro E. Trevino, , James Zou

ROSIE generates multiplex immunofluorescence staining from H&E images by imputing protein expression and localization using deep learning.

Nature Communications · Aug 16, 2025Peer-reviewedPathology

An evolution-based framework for describing human gut bacteria

Benjamin A. Doran, Robert Yuzen Chen, Hannah Giba, Vivek Behera, Bidisha Barat, Anitha Sundararajan, Huaiying Lin, Ashley M. Sidebottom, Eric G. Pamer, Arjun S. Raman

The paper describes bacterial strains in the human gut using a statistical model based on their evolutionary history to predict metabolic phenotypes and engineer consortia.

bioRxiv · Dec 4, 2023 · PreprintSystems Biology