Author

Inga-Katariina Aapalampi

University of TurkuORCID 0009-0005-4581-8046Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:E. coli· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Teppo HiltuneniD· 2 shared Ville MustoneniD· 2 shared Anna M. BischofbergeriD· 1 shared Dovydas KičiatovasiD· 1 shared Johannes CairnsiD· 1 shared Meri LindqvistiD· 1 shared Sanna PausioiD· 1 shared T. Anthony SuniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersEcology

Teppo HiltunenORCID

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2 papers

Recent·Most cited

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

EcologybioRxivPreprintFeb 28, 2026

Ecological tristability driven by total carbon availability over resource complexity in a synthetic microbial community

Anna M. Bischofberger, Johannes Cairns, Inga-Katariina Aapalampi…·Teppo Hiltunen

This study shows that total carbon availability, not resource complexity, drives tristability in a synthetic microbial community, with lag phase duration predicting competitive success.

1 citation

metagenomicsexperimental assay

𝕏 PostBluesky