Xiaoya Sun

Driven by challenges in high-dimensional data, I am interested in developing statistical methods for robust variable selection while effectively controlling the false discovery rate. I also aim to advance statistical tools that are resilient to complex data structures and ensure meaningful insights in real-world applications. 

• Robust variable selection: variable selection for complex data, such as cellwise outliers and correlation
• High-dimensional statistical inference: multiple hypothesis testing and false discovery rate control
• Biostatistics: applications to genetics and proteomics data