Author

Scott Spillias

Commonwealth Scientific and Industrial Research OrganisationORCID 0000-0002-1310-5202Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:ecology & biodiversity· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1 Approach:statistical model· 1

Frequent Co-Authors

Elizabeth A. FultoniD· 2 shared Fabio BoschettiiD· 2 shared Rowan TrebilcoiD· 2 shared Andrew TayloriD· 1 shared Ariane EastoniD· 1 shared Brigette R. WrightiD· 1 shared Cathy BulmaniD· 1 shared Christopher James BrowniD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersEcology

Elizabeth A. FultonORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Operationalising LLM-assisted screening of literature to support systematic reviews

Scott Spillias, Laura Avila-Turriago, Christopher James Brown, Ariane Easton, Jack Roberts, Michael Sievers, Stephen E. Swearer, Andrew Taylor, Brigette R. Wright, Valeriya Komyakova

This paper develops an LLM-based workflow for efficient literature screening in systematic reviews, achieving high recall with minimal human effort across environmental science corpora.

bioRxiv · Sep 24, 2026 · PreprintEcology

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

AI-Driven Knowledge Synthesis for Food WebParameterisation

Scott Spillias, Elizabeth A. Fulton, Fabio Boschetti, Cathy Bulman, Joanna Strzelecki, Rowan Trebilco

This paper introduces a framework using LLMs to automate species grouping and diet matrix generation for food web construction, achieving high consistency in species grouping and moderate accuracy in trophic interactions.

Environmental Modelling & Software · Jan 7, 2026Peer-reviewedEcology