Author

Sunchung Park

Agricultural Research ServiceORCID 0000-0002-7398-9476Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 3 Research Focus:cell type annotation· 2 Assay:GWAS summary statistics· 2 Organism:plant (other)· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Ezekiel Jin Sung AhniD· 4 shared Lyndel W. MeinhardtiD· 4 shared Seunghyun LimiD· 4 shared Insuck BaekiD· 3 shared Amelia Helen LovelaceiD· 2 shared Jae Hee JangiD· 2 shared Jishnu BhattiD· 2 shared Minhyeok ChaiD· 2 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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4 shared papersMicrobiology

Ezekiel Jin Sung AhnORCID

Mutual co-authors in cluster

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4 papers

Recent·Most cited

A GWAS-machine learning framework reveals protein-synthesis pathway signals for yield in Theobroma cacao after population-structure correction

Insuck Baek, Jishnu Bhatt, Seunghyun Lim, Dongho Lee, Jae Hee Jang, Stephen P. Cohen, Amelia Helen Lovelace, M. S. Kim, Lyndel W. Meinhardt, Sunchung Park, Ezekiel Jin Sung Ahn

This study uses a GWAS and machine learning framework to identify genetic signals related to protein-synthesis pathways that influence cacao yield after correcting for population structure.

Scientific Reports · Mar 17, 2026Peer-reviewedGenomics

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, Amelia Helen Lovelace, Minhyeok Cha, Moon S. Kim, Sunchung Park, 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.

bioRxiv · Nov 29, 2025 · PreprintMicrobiology

Genomic Prediction and SNP Importance Analysis for Agronomic Traits in Two Coffea canephora Populations

Ezekiel Jin Sung Ahn, Sunchung Park, Jishnu Bhatt, Seunghyun Lim, Lyndel W. Meinhardt

This study identifies population-specific genetic strategies for agronomic traits in Coffea canephora using genomic analysis and machine learning, revealing distinct biological pathways in two populations.

bioRxiv · Oct 31, 2025 · PreprintGenetics

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, Zhuangji Wang, Minhyeok Cha, Clint Magill, Moon S. Kim, Lyndel W. Meinhardt, Sunchung Park, 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.

bioRxiv · May 21, 2025 · PreprintMicrobiology