Author

Kinshuk Sahu

Duke University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Systems Biology· 2 Synthetic Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:diffusion model· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Lingchong YouiD· 3 shared César A. Villalobos· 2 shared Emrah ŞimşekiD· 2 shared Jia Grace LuiD· 2 shared Avi Heyman· 1 shared Charlotte T. LeeiD· 1 shared Deverick John AndersoniD· 1 shared Dongheon LeeiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 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

3 shared papersSystems Biology

Lingchong YouORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Simulation-conditioned generative modeling for biologically realistic pattern prediction

Kinshuk Sahu, Hugh C. Davis, Jia Grace Lu, César A. Villalobos, Avi Heyman, Emrah Şimşek, Lingchong You

This paper introduces a simulation-conditioned generative framework that combines mechanistic models with image generation to create biologically realistic patterns, enabling inference from experimental data.

bioRxiv · May 11, 2026 · PreprintSystems Biology

Keystone engineering enables collective range expansion in microbial communities

Emrah Şimşek, César A. Villalobos, Kinshuk Sahu, Zhengqing Zhou, Nan Luo, Dongheon Lee, Helena R. Ma, Deverick John Anderson, Charlotte T. Lee, Lingchong You

The paper shows keystone engineering enables microbial range expansion by antibiotic-degrading bacteria, revealing spatial effects in microbial communities.

Nature Communications · Dec 4, 2025Peer-reviewedSystems Biology

Discovery of interpretable patterning rules by integrating mechanistic modeling and deep learning

Jia Grace Lu, Nan Luo, Sizhe Liu, Kinshuk Sahu, Rohan Maddamsetti, Yasa Baig, Lingchong You

The paper integrates mechanistic modeling with machine learning to accelerate the discovery of design rules for pattern formation in living cells.

bioRxiv · Sep 2, 2024 · PreprintSynthetic Biology