Author

Nicola Hallmann

ETH ZurichORCID 0009-0002-0379-4566Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:bacteria (other)· 1 Approach:Bayesian inference· 1 Organism:E. coli· 1 Approach:optimal transport· 1 Research Focus:variant calling· 1

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Catalina Guerra-CornejoiD· 1 shared Charlotte MerzbacheriD· 1 shared Diego A. OyarzúniD· 1 shared Karl E. BurgessiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperSynthetic Biology

Catalina Guerra-CornejoORCID

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1 paper

Recent·Most cited

Synthetic BiologyComputational and Structural Biotechnology JournalPeer-reviewedMar 1, 2026

Multiobjective design of growth media with genome-scale metabolic models and Bayesian optimization

Nicola Hallmann, Catalina Guerra-Cornejo, Karl E. Burgess…·Diego A. Oyarzún

This paper introduces gsMOBO, a computational method that uses genome-scale metabolic models and Bayesian optimization to design cost-effective and productive culture media by optimizing nutrient combinations across high-dimensional spaces.

2 citations

E. colibacteria (other)

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