Author

Amanda de Azevedo-Lopes

Max Planck Institute for Evolutionary BiologyORCID 0000-0003-3468-3156Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Arne TraulseniD· 2 shared Bartłomiej WaclawiD· 1 shared Chandan RelekariD· 1 shared Karolina DrabikiD· 1 shared Michael RaatziD· 1 shared Michael SieberiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersEcology

Arne TraulsenORCID

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2 papers

Recent·Most cited

EcologybioRxivPreprintSep 29, 2026

Do higher-order moments improve inference of population dynamics?

Chandan Relekar, Amanda de Azevedo-Lopes, Michael Sieber, Arne Traulsen

This study shows that using a stochastic model to account for variability in microbial time-series data improves parameter inference compared to deterministic models.

DOI 10.64898/2026.09.28.754680

Bayesian inferencestatistical model

𝕏 PostBluesky

Evolutionary BiologyThe ISME JournalPeer-reviewedJan 1, 2024

Infection dynamics in the urinary tract - The importance of non-planktonic phases during early infection and resistance evolution

Michael Raatz, Amanda de Azevedo-Lopes, Karolina Drabik…·Bartłomiej Waclaw

This study uses a mathematical model to show that non-planktonic bacterial phases in UTIs increase infection risk and shape resistance evolution, with probiotic pretreatment improving antibiotic efficacy.

1 citation

statistical modelhost-pathogen & immune response

𝕏 PostBluesky