Andrew Magee
Affiliations: | 2016-2021 | University of Washington, Seattle, Seattle, WA |
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"Andrew Magee"Parents
Sign in to add mentor| Brian R. Moore | research assistant | 2015-2016 | UC Davis |
| Adam Leaché | grad student | 2016-2021 | University of Washington |
| Marc A. Suchard | post-doc | 2021- | UCLA (MathTree) |
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Publications
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| Didier G, Glatt-Holtz NE, Holbrook AJ, et al. (2024) On the surprising effectiveness of a simple matrix exponential derivative approximation, with application to global SARS-CoV-2. Proceedings of the National Academy of Sciences of the United States of America. 121: e2318989121 |
| Shao Y, Magee AF, Vasylyeva TI, et al. (2023) Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models. Biorxiv : the Preprint Server For Biology |
| McBride DS, Garushyants SK, Franks J, et al. (2023) Accelerated evolution of SARS-CoV-2 in free-ranging white-tailed deer. Nature Communications. 14: 5105 |
| Pekar JE, Lytras S, Ghafari M, et al. (2023) The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2. Biorxiv : the Preprint Server For Biology |
| Magee AF, Holbrook AJ, Pekar JE, et al. (2023) Random-effects substitution models for phylogenetics via scalable gradient approximations. Arxiv |
| McBride D, Garushyants S, Franks J, et al. (2023) Accelerated evolution of SARS-CoV-2 in free-ranging white-tailed deer. Research Square |
| Kopperud BT, Magee AF, Höhna S. (2023) Rapidly changing speciation and extinction rates can be inferred in spite of nonidentifiability. Proceedings of the National Academy of Sciences of the United States of America. 120: e2208851120 |
| Pekar JE, Magee A, Parker E, et al. (2022) The molecular epidemiology of multiple zoonotic origins of SARS-CoV-2. Science (New York, N.Y.). eabp8337 |
| Magee AF, Hilton SK, DeWitt WS. (2021) Robustness of phylogenetic inference to model misspecification caused by pairwise epistasis. Molecular Biology and Evolution |
| Magee AF, Höhna S, Vasylyeva TI, et al. (2020) Locally adaptive Bayesian birth-death model successfully detects slow and rapid rate shifts. Plos Computational Biology. 16: e1007999 |