My research interests are probability and statistical theory and computational statistics for new technology-generated multi-domain data.
My current applied research is statistical methods for microbiome genome-level data and host immune response in pregnant women to elucidate interactions.
My current theoretical research focuses on approximation theory for learning dependency in high-dimensional data.