Author

J. Kudlicka

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Biology Disciplines

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Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:multiple species· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1

Frequent Co-Authors

D. Broman· 1 shared D. Lunden· 1 shared F. Ronquist· 1 shared J. Borgström· 1 shared L. Murray· 1 shared N. Lartillot· 1 shared T. B. Schön· 1 shared V. Senderov· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperEvolutionary Biology

D. Broman

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1 paper

Recent·Most cited

Universal probabilistic programming offers a powerful approach to statistical phylogenetics

F. Ronquist, J. Kudlicka, V. Senderov, J. Borgström, N. Lartillot, D. Lunden, L. Murray, T. B. Schön, D. Broman

This paper demonstrates that universal probabilistic programming languages can effectively solve phylogenetic analysis by generating efficient inference algorithms and applying them to bird phylogenies.

bioRxiv · Jun 16, 2020Evolutionary Biology