• Proved, implemented, and benchmarked a truncation-based containment MinHash algorithm CMash for multi-resolution estimation of Jaccard and containment indices in metagenomic analysis.• Utilized k-mer-sketching-based methods to develop comprehensive pipelines to explore the "microbial dark matter".• Actively participated in the Biomedical Data Translator Consortium, emphasizing collaborative efforts in developing a graph-based reasoning tool for biomedical and translational studies.• Constructed a metagenomic-specific knowledge graph MKG by integrating public resources and adopted graph learning methods for data mining purposes (such as pathogen prediction) in metagenomics.

Single-cell method development for multiome data analysis.

Algorithm development for HBV genotyping and analysis of clinical samples.

• Engaged in collaborative efforts with diverse teams and conducted bioinformatic analyses on a spectrum of genomic and epigenomic datasets, including ChIP-seq, RNA-seq, WGBS, ATAC-seq, and single-cell RNA data.• Worked in the Data Coordination Center (DCC) of TaRGET II Consortium, streamlined and set the routine pipelines for RNA-seq, ChIP-seq, WGBS, and ATACseq data; and processed part of data with preliminary quality analysis.• Developed AIAP, an advanced ATAC-seq analysis pipeline for comprehensive analysis of ATAC-seq dataset; and also implemented the pipeline into Docker and Singularity.