Author

Kendall A. Reid

Johns Hopkins UniversityORCID 0000-0002-2105-6471Unclaimed 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· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:batch correction / integration· 1 Approach:benchmark study· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:diffusion model· 1

Frequent Co-Authors

Da Zhuan XuiD· 1 shared Ekin Deniz AksuiD· 1 shared Erhan GuveniD· 1 shared Genevieve Stein-O’BrieniD· 1 shared Harrison H. TruscottiD· 1 shared Hugo HakemiD· 1 shared Jacky H. K. CheniD· 1 shared Jeffrey J. GrayiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperBiophysics

Da Zhuan XuORCID

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3 papers

Recent·Most cited

Towards Principled Evaluation of Single-Cell Perturbation Prediction Models

Philipp Sven Lars Schäfer, Kendall A. Reid, Zach Boldyga, Ekin Deniz Aksu, Hugo Hakem, Julio Sáez-Rodríguez

The paper evaluates single-cell perturbation prediction models by developing a taxonomy and tool to standardize benchmarking protocols across datasets.

bioRxiv · Jul 27, 2026 · PreprintBioinformatics

Can We Extract Physics-like Energies from Generative Protein Diffusion Models?

Sudeep Sarma, Harrison H. Truscott, Da Zhuan Xu, Kendall A. Reid, Lee‐Shin Chu, Jacky H. K. Chen, Jeffrey J. Gray

This paper examines whether diffusion models can extract physics-like energies for protein docking, finding they can recover energy funnels comparable to Rosetta in 9 out of 25 cases.

bioRxiv · Nov 28, 2025 · PreprintBiophysics

Topology Matters: The Trade-off Between Wasserstein Critics and Discriminators in Single-Cell Data Integration

Kendall A. Reid, Genevieve Stein-O’Brien, Erhan Guven

The paper compares Wasserstein critics and discriminators for single-cell data integration, finding Wasserstein critics offer better mixing but risk over-correction, while discriminators provide more stable results.

bioRxiv · Nov 12, 2025 · PreprintBioinformatics