Author

Jimmy Hall

Microsoft (United States)

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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Genomics· 1

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alan M MosesiD· 1 shared Alex Xijie LuiD· 1 shared Ashley Mae ConardiD· 1 shared Bo WangiD· 1 shared Kevin K. YangiD· 1 shared Lorin A. CrawfordiD· 1 shared Micaela Elisa ConsensiD· 1 shared

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2026-2026 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperGenomics

Alan M MosesORCID

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1 paper

Recent·Most cited

Predicting evolutionary rate as a pretraining task improves genome language model representations

Micaela Elisa Consens, Kevin K. Yang, Jimmy Hall, Ashley Mae Conard, Bo Wang, Lorin A. Crawford, Alan M Moses, Alex Xijie Lu

This paper introduces a pretraining task for genome language models that predicts evolutionary rate, showing improved performance over sequence-only pretraining.

bioRxiv · Feb 4, 2026 · PreprintGenomics