Hamed Heydari

The paper introduces LEAF-1, a fragment-level foundation model for genomics data analysis, showing it can classify cell types and detect cancer from sparse datasets and cell-free DNA.

The paper introduces Rhaister, a perturbation-response predictor that uses summary statistics to predict drug responses, outperforming virtual-cell models in speed and accuracy.

FLASH-MM improves single-cell differential expression analysis by using a fast linear mixed-effects model that is accurate and efficient.

This paper introduces BridGE, a method to detect pathway-level genetic interactions from GWAS data, revealing significant interactions in multiple diseases.