We generate robust, interpretable genomic insights to advance genetic discovery and personalized medicine. We develop statistical and computational methods to detect causal variants, build predictive models, and characterize complex traits, applying them to large-scale biobank and registry data to integrate genomic and multi-omics information, uncover disease mechanisms, and support stratification and drug target identification. We build high-performance, scalable software and analytical pipelines for reproducible genetic analyses and develop integrative genomics platforms for large-scale, cross-species data integration and analysis. Our work is closely connected to clinical and translational research through collaborations with partners across the pharmaceutical industry, health registries, and healthcare systems.
