ARGformer published in Bioinformatics

ARGformer, our transformer model that learns directly from leaf-to-root paths in ancestral recombination graphs, is now out in Bioinformatics 🎉 The work was led by David Bonet, a PhD student in the lab co-supervised with Alexander G. Ioannidis (Stanford University), together with Cole Shanks and Marçal Comajoan Cara. It appears in the ECCB 2026 proceedings issue and will be presented at the conference. Congratulations David!