Author

Moon S. Kim

Agricultural Research ServiceORCID 0000-0001-8504-9839Unclaimed 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:cell type annotation· 2 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:fungi (other)· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Assay:proteomics· 1

Frequent Co-Authors

Ezekiel Jin Sung AhniD· 3 shared Insuck BaekiD· 3 shared Lyndel W. MeinhardtiD· 3 shared Minhyeok ChaiD· 3 shared Seunghyun LimiD· 3 shared Sunchung ParkiD· 2 shared Amelia Helen LovelaceiD· 1 shared Clint MagilliD· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersMicrobiology

Ezekiel Jin Sung AhnORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

MicrobiologybioRxivPreprintNov 29, 2025

From minutes to bounds: A probabilistic UV-C control and a shape-only morphological fingerprint for postharvest Colletotrichum

Ezekiel Jin Sung Ahn, Insuck Baek, Seunghyun Lim…·Lyndel W. Meinhardt

This paper introduces a probabilistic UV-C control framework and a shape-only morphological fingerprint to predict postharvest pathogen survival and origin in cacao and coffee.

DOI 10.1101/2025.11.29.691312

plant (other)proteomics

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MicrobiologybioRxivPreprintNov 1, 2025

An Eligibility-Aware Pipeline for Robust ITS Diagnostics in Fungi: A Cacao Case Study with Generalizable Rules

Seunghyun Lim, Insuck Baek, Jishnu Bhatt…·Ezekiel Jin Sung Ahn

The paper introduces an eligibility-aware pipeline to improve ITS diagnostics in fungi by addressing database incompleteness and primer performance issues, demonstrating its utility in cacao pathosystems.

DOI 10.1101/2025.11.01.686068

fungi (other)DNA methylation

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MicrobiologybioRxivPreprintMay 21, 2025

Unveiling differential responses to UVB (305 nm) and UVC (275 nm) in cacao-infecting Colletotrichum gloeosporioides and Pestalotiopsis sp.

Insuck Baek, Jae Hee Jang, Seunghyun Lim…·Ezekiel Jin Sung Ahn

The paper investigates differential UVB and UVC responses in plant pathogenic fungi using hyperspectral imaging and machine learning, finding UVC more effective and Pestalotiopsis sp. more resistant than C. gloeosporioides.

2 citations

imagingmachine learning (classical)

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