Author

D. Payette

Mila - Quebec Artificial Intelligence Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Synthetic Biology· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:phylogenetics / evolution· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Archer Y. Yang· 1 shared Carlos Michel Mourra-Díaz· 1 shared Qichen Huang· 1 shared Xiaozhen WeniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperSynthetic Biology

Archer Y. Yang

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1 paper

Recent·Most cited

Sequence Generation and Phylogenetic Inference with Generative Flow Networks

Qichen Huang, Carlos Michel Mourra-Díaz, Xiaozhen Wen, D. Payette, Archer Y. Yang

This paper introduces AncestorGFN, a method using Generative Flow Networks for alignment-free sequence generation and phylogenetic inference, showing it can recover ancestral relationships and generate novel sequences.

bioRxiv · Sep 15, 2026 · PreprintSynthetic Biology