Author

Melinda Meleghy

Technical University of Munich

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Biology Disciplines

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Evolutionary Biology· 1

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Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:multiple species· 1 Approach:transformer / foundation model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Andrew D. KerniD· 1 shared Aurélien TellieriD· 1 shared Kevin KorfmanniD· 1 shared Nathaniel S. PopeiD· 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 paperEvolutionary Biology

Andrew D. KernORCID

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1 paper

Recent·Most cited

Coalescence and Translation: A Language Model for Population Genetics

Kevin Korfmann, Nathaniel S. Pope, Melinda Meleghy, Aurélien Tellier, Andrew D. Kern

The paper introduces cxt, a transformer-based model that predicts coalescence times from mutation patterns, achieving performance comparable to MCMC methods and enabling efficient inference on genomic data.

Proceedings of the National Academy of Sciences · Apr 10, 2026Peer-reviewedEvolutionary Biology