Aditya Gorla

This paper introduces REGENA, a method to disentangle gene-environment interaction mechanisms, finding that half of significant GxE signals are scale-dependent and effect heterogeneity drives most remaining GxE heritability.

The paper introduces ENGINE, a method to infer gene-environment interactions from large-scale biobank data, finding that combining multiple exposures increases detected GxE variance.

This paper introduces FLEX, a method for estimating gene-level heritability from whole-exome sequencing data, showing rare coding variants contribute significantly to complex trait heritability.

This paper introduces PACA, a contrastive learning method for subphenotype subtyping, which outperforms existing methods by capturing weak subphenotypic variation in complex diseases.