Author

Nyall Jamieson

The University of Texas at AustinORCID 0009-0004-1491-6885Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Christiana CharalambousiD· 2 shared David M. SchultziD· 2 shared Ian HalliD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersCell Biology

Christiana CharalambousORCID

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintJan 24, 2026

A two-scale model of Legionnaires disease to predict incubation periods and risk of symptomatic disease

Nyall Jamieson, Christiana Charalambous, David M. Schultz, Ian Hall

This paper develops a non-Markovian two-scale model of Legionnaires disease to improve incubation period and dose-response predictions by incorporating realistic rupture-time distributions.

DOI 10.64898/2026.01.22.701076

humandeep learning

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Cell BiologybioRxivPreprintAug 31, 2025

A hybrid model of the within-host dynamics post-infection with Legionnaires disease;

Nyall Jamieson, Christiana Charalambous, David M. Schultz, Ian Hall

This paper develops a hybrid model to simulate within-host dynamics of Legionnaires disease, reducing computational cost while maintaining accuracy by integrating ODE, discrete-event, and SDE models.

1 citation

humanstatistical model

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