Jonathan Warrell

Yale University — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

52h-index26.8kcitations188works8.12yr avg
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Research Topics

Cancer Genomics and Diagnostics(29), Immunotherapy and Immune Responses(27), Advanced Image and Video Retrieval Techniques(22), vaccines and immunoinformatics approaches(18), RNA Research and Splicing(16)

Publications119 total

Logical Guidance for the Exact Composition of Diffusion Models
arXiv (Cornell University)·2026Open Access
Logical Guidance for the Exact Composition of Diffusion Models
ArXiv.org·2026Open Access
Metabolic characterization of tumor-immune interactions by multiplexed immunofluorescence reveals spatial mechanisms of immunotherapy response in non-small cell lung carcinoma (NSCLC)
Nature Communications·2026Open Access
515 Tumor agnostic spatially defined immune cell gene signatures predict immunotherapy outcomes
Regular and Young Investigator Award Abstracts·2025Open Access
453 Colocalization of PD-1 and PD-L1 in the tumor compartment predicts checkpoint inhibitor response in melanomas
Regular and Young Investigator Award Abstracts·2025Open Access
Spatial signatures for predicting immunotherapy outcomes using multi-omics in non-small cell lung cancer
Nature Genetics·2025· 7 citedOpen Access
Efficient Privacy-Preserving Training of Quantum Neural Networks by Using Mixed States to Represent Input Data Ensembles
arXiv (Cornell University)·2025Open Access
Dynamic convergence of neurodevelopment disorder risk genes: zebrafish baseline and drug behavioral screen dataset
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Dynamic convergence of neurodevelopment disorder risk genes: zebrafish baseline and drug behavioral screen dataset
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma
JAMA Network Open·2025· 5 citedOpen Access
Abstract 2424: Integrating digital spatial profiling and H&E images to develop predictive biomarkers for immunotherapy outcomes in triple-negative breast cancer from imputed spatial gene expression
Cancer Research·2025
Quantum variational autoencoder utilizing regularized mixed-state latent representations
Physical review. A/Physical review, A·2025· 9 cited
Variational methods for Learning Multilevel Genetic Algorithms using the Kantorovich Monad
arXiv (Cornell University)·2024Open Access
A variational graph-partitioning approach to modeling protein liquid-liquid phase separation
Cell Reports Physical Science·2024· 1 citedOpen Access
Enhancing Immunotherapy Outcomes: Spatial Multi-Omics Models for Non-Small Cell Lung Cancer
2024Open Access
Supplementary Figure S3 from Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma
2024Open Access
Supplementary Figure S6 from Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma
2024Open Access
Data from Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma
2024Open Access
Supplementary Figure S5 from Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma
2024Open Access
Supplementary Figure S4 from Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma
2024Open Access
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Frequent Co-authors

Mark Gerstein(17), Vibhav Vineet(9), Philip H. S. Torr(9), Prashant S. Emani(8), Simon J. D. Prince(7), Shuang Liu(6), Daifeng Wang(6), Kevin P. White(6), Shaoke Lou(6), Timur R. Galeev(6), Gabriel E. Hoffman(5), Panos Roussos(5), Declan Clarke(5), Matthew Meyerson(5), Philip H. S. Torr(5), Michael J. Gandal(4), Hyejung Won(4), Yan Xia(4), Yucheng Yang(4), Dominic Fitzgerald(4)