Author

Lars Maas

University of Melbourne

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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Systems Biology· 1

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Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Organism:E. coli· 1 Approach:statistical model· 1

Frequent Co-Authors

Kaan ÖcaliD· 1 shared Michael P.H. StumpfiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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1 shared paperSystems Biology

Kaan ÖcalORCID

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1 paper

Recent·Most cited

Probing bacterial fitness in virtual chemostats

Kaan Öcal, Lars Maas, Michael P.H. Stumpf

The paper develops computational algorithms to accurately estimate bacterial population growth rates using single-cell models and applies them to study antibiotic response heterogeneity and chemotaxis effects.

bioRxiv · Nov 2, 2026 · PreprintSystems Biology