Author

Philip C. Lee

University of California, BerkeleyORCID 0009-0004-5984-5486Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 1

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Approach:Bayesian inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:non-human primate· 1 Approach:statistical model· 1

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Celine E. SneddeniD· 1 shared Dylan H. MorrisiD· 1 shared James O. Lloyd‐SmithiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperMicrobiology

Celine E. SneddenORCID

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1 paper

Recent·Most cited

Data aggregation and mechanistic modeling enable dose-response analysis of SARS-CoV-1 in non-human primates

Philip C. Lee, Celine E. Snedden, Dylan H. Morris, James O. Lloyd‐Smith

The paper develops a Bayesian model to aggregate NHP challenge study data and estimate SARS-CoV-1 infectious dose, enabling dose-response analysis despite limited data from individual studies.

bioRxiv · Jun 8, 2026 · PreprintMicrobiology