Author

T. Anthony Sun

University of HelsinkiORCID 0000-0002-5277-7861Unclaimed 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:benchmarking· 2 Organism:E. coli· 2 Assay:metagenomics· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Ville MustoneniD· 2 shared Anne FarewelliD· 1 shared Dovydas KičiatovasiD· 1 shared Florian BorseiD· 1 shared Inga-Katariina AapalampiiD· 1 shared Johannes CairnsiD· 1 shared Silvana Lord Smits· 1 shared Teemu KuosmaneniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 20 mutual co-author links

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2 shared papersEcology

Ville MustonenORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

EcologybioRxivPreprintSep 4, 2026

How far can microbial monocultures predict growth in multi-strain communities?

Florian Borse, Silvana Lord Smits, Tithnara Anthony Sun…·Ville Mustonen

This study uses machine learning to predict multi-strain microbial community growth from monoculture data, finding that simpler models often suffice.

DOI 10.64898/2026.09.02.748814

E. colimetagenomics

𝕏 PostBluesky

EcologyMethods in Ecology and EvolutionPeer-reviewedJun 1, 2026

Discovering data-driven microbial growth models with symbolic regression

T. Anthony Sun, Dovydas Kičiatovas, Inga-Katariina Aapalampi…·Ville Mustonen

This study uses symbolic regression to discover microbial growth models from data, finding that models balancing data fit, parsimony, and biological relevance include linear approximations and Monod dynamics.

1 citation

E. colimetagenomics

𝕏 PostBluesky