Research Highlights

1. High-dimensional variable screening, selection and categorization with multiple studies

2. Big data (multi-omics data, neuroimaging and genetic data) integration

3. Post-GWAS statistical genetic methods (e.g. fine mapping, Polygenic risk score (PRS), Mendelian randomization (MR) based causal inference, Transcriptome wide association analysis (TWAS)).