Author

Suk Yee Yong

Commonwealth Scientific and Industrial Research OrganisationORCID 0000-0002-5204-2902Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Organism:multiple species· 1 Approach:statistical model· 1

Frequent Co-Authors

Elizabeth A. FultoniD· 1 shared Fabio BoschettiiD· 1 shared Jacob G. D. RogersiD· 1 shared Magda GuglielmoiD· 1 shared Rowan TrebilcoiD· 1 shared Scott SpilliasiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperEcology

Elizabeth A. FultonORCID

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1 paper

Recent·Most cited

Data-Driven Discovery of Mechanistic Ecosystem Models with LLMs

Scott Spillias, Jacob G. D. Rogers, Fabio Boschetti, Elizabeth A. Fulton, Magda Guglielmo, Suk Yee Yong, Rowan Trebilco

This paper introduces LEMMA, a framework using LLMs and evolutionary algorithms to generate and refine mechanistic ecosystem models, demonstrating strong performance in marine case studies.

Methods in Ecology and Evolution · Feb 24, 2026Peer-reviewedEcology