Barnabás Póczos

This paper introduces an adaptive diffusion model for antibody design inspired by B cell evolution, showing improved optimization across diverse targets.

The paper develops SenSet, a gene signature for human lung senescence, validated in 3D culture models and identifies cell-type specific senescence mechanisms in aging and disease.

This paper introduces SPEID, a deep learning model that predicts enhancer-promoter interactions using sequence features, showing effectiveness across six cell types and application to melanoma mutations.