Author

Megan M. Wallen

National Oceanic and Atmospheric AdministrationORCID 0000-0002-7140-2993Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Research Focus:cell type annotation· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Ann-Marie JacobyiD· 2 shared Eric M. PattersoniD· 2 shared Janet ManniD· 2 shared Melissa Ann CollieriD· 2 shared Shweta BansaliD· 2 shared Colin J. MurphyiD· 1 shared Kim W. UrianiD· 1 shared Sarah Theisen· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersEcology

Ann-Marie JacobyORCID

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2 papers

Recent·Most cited

Seasonal contact and migration structure mass epidemics and inform outbreak preparedness in bottlenose dolphins

Melissa Ann Collier, Kim W. Urian, Sarah Theisen, Ann-Marie Jacoby, Sarah Wilkin, Eric M. Patterson, Megan M. Wallen, Vittoria Colizza, Janet Mann, Shweta Bansal

This study develops a data-driven epidemiological model for bottlenose dolphins to understand disease spread and improve outbreak preparedness by analyzing spatial and contact structures.

Proceedings of the Royal Society B Biological Sciences · Jul 1, 2025Peer-reviewedEcology

Automated Skin Lesion Detection and Prevalence Estimation in Tamanend's Bottlenose Dolphins

Colin J. Murphy, Melissa Ann Collier, Ann-Marie Jacoby, Eric M. Patterson, Megan M. Wallen, Janet Mann, Shweta Bansal

This paper develops a machine learning model to detect skin lesions in bottlenose dolphins and estimates lesion prevalence, finding high model accuracy and a positive relationship between lesion presence and gregariousness.

Ecological Informatics · Dec 9, 2024Peer-reviewedEcology