Understanding Genomic Variation in Human Health & Disease

Driven by method innovation in statistical genetics and bioinformatics, we integrate population-scale genomics, multi-omics, and spatial data to decode the molecular and cellular mechanisms of human complex traits and diseases.

We are dedicated to bridging the gap between statistical discoveries and clinical translation, empowering disease risk prediction, drug target discovery, and precision therapeutics.

Research interests

AI in genomics and multi-omics

Single-cell and spatial omics in human genetics

Population genomics-based discovery of new disease therapeutic targets

Pangenome, structural variants, and population health

Cancer genetics and multi-omics

Development of high-performance bioinformatics methods and tools

YangLab

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