Author

Zhenglun Kong

Harvard UniversityORCID 0000-0002-8120-4456Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:perturbation response prediction· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Marinka ŽitnikiD· 2 shared Andrew Nathanael SheniD· 1 shared Boyang FuiD· 1 shared Brenton P. Munson· 1 shared Katherine Licon· 1 shared M KellisiD· 1 shared Michelle M. LiiD· 1 shared Pengwei SuiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Marinka ŽitnikORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 17, 2026

Medea: An AI agent for therapeutic reasoning across biological contexts

Pengwei Sui, Michelle M. Li, Brenton P. Munson…·Marinka Žitnik

Medea, an AI agent, performs therapeutic reasoning across biological contexts by preserving context, verifying steps, and reconciling evidence, outperforming existing models in multiple domains.

7 citations

yeastdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 8, 2025

Generative modeling of spatially resolved perturbation responses with CONCERT

Xiang Lin, Zhenglun Kong, Boyang Fu…·Marinka Žitnik

CONCERT, a niche-aware generative model, predicts spatial perturbation responses more accurately than existing methods across multiple tissues and experimental setups.

4 citations

mousespatial transcriptomics

𝕏 PostBluesky