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

Genomic variation and human complex traits

Human genetics-informed discovery of new disease therapeutic targets

Single-cell and spatial transcriptomics in human genetics

Application of artificial intelligence in genetics and multi-omics

Cancer genetics and genomics

Development of high-performance bioinformatics methods and tools

YangLab

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