Author

Elena Rossini

Max Planck Institute of Molecular Plant Physiology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Ari SatanowskiiD· 1 shared Beau B. DronsellaiD· 1 shared Hai HeiD· 1 shared Helena Schulz-MirbachiD· 1 shared Huda Kasim· 1 shared Jörg KahntiD· 1 shared Katsutaka Suzuki· 1 shared Melanie Klose· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

Ari SatanowskiORCID

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Author profile →

1 paper

Recent·Most cited

Combining evolution and machine learning-guided pathway optimization to engineer a novel methylsuccinate module for synthetic C1 metabolism in vivo

Helena Schulz-Mirbach, Vittorio Rainaldi, Nitin Bohra, Katsutaka Suzuki, Titouan Danet, Huda Kasim, Ari Satanowski, Hai He, Elena Rossini, Seung Hwan Lee, Melanie Klose, Jörg Kahnt, Timo Glatter, Peter Claus, Nicole Paczia, , Tobias J. Erb

This paper combines adaptive laboratory evolution and machine learning to engineer a methylsuccinate module for synthetic C1 metabolism in E. coli, achieving growth in three weeks versus six months with evolution alone.

bioRxiv · Jan 20, 2026 · PreprintBioengineering