Alexandria Lau

The paper introduces a modular AI framework for ROI selection in spatial profiling, showing hybrid generalist-specialist strategies balance signal preservation, concordance, consistency, and efficiency.

This paper introduces a Bayesian network framework to estimate direct and indirect causal effects of genes on complex traits using GWAS data and gene expression, showing improved enrichment of known genes and pathways.

This study identifies causal relationships between plasma proteins and psychiatric disorders using proteome-wide Mendelian randomization, revealing potential biomarkers and drug targets.

This study uses GWAS gene-set analyses to reposition drugs for depression and anxiety, finding enrichment of psychiatric medications and new candidates like fendiline.