Lakshmi Krishnan

The paper introduces TranscriptFormer, a generative model trained on 112 million cells across 12 species, demonstrating cross-species cell type classification and disease state prediction.

The paper introduces CytoType and ESM-CE, species-specific small models for cell type classification that achieve performance comparable to large foundation models with fewer parameters.

VariantFormer predicts gene expression from diploid genomes, outperforming existing models and improving eQTL effect size estimation across ancestries and tissues.