Research

Utilizing large-scale re-sequencing and GWAS to identify key genes underlying important agronomic traits in soybean and other crops. Conducting downstream molecular functional characterization of candidate genes.

Integrating transcriptomic, epigenomic, and metabolomic data to dissect the regulatory networks controlling complex agronomic traits.

Developing user-friendly, interactive R Shiny applications for omics data analysis, making bioinformatics accessible to wet-lab biologists.