Guanghao Qi

Guanghao Qi

Assistant Professor, University of Washington

Guanghao Qi

I am a tenure-track Assistant Professor of Biostatistics at the University of Washington (UW faculty page). My research is centered around developing statistical and machine learning methods for multi-omics approaches to genetic studies. These methods typically use data from genome-wide association studies (GWAS), whole-genome sequencing (WGS), and functional genomic data such as single-cell RNA-seq. Specific areas include:

  • Integrative analysis of single-cell RNA-seq and GWAS data: Using single-cell expression quantitative trait loci (eQTL) and allele-specific expression (ASE) data to investigate biological mechanisms underlying variant-trait associations.

  • Multi-trait genetic association analysis: Integrating information a wide range of traits to yield novel insights into genetic architecture.

  • Mendelian randomization: Using genetic variants as instrumental variables to study causal effects between risk factors and diseases.

See here for more details.

News!

  • January 2025: Qi receives a 5-year K01 award from NIH to develop statistical methods for integration of single-cell eQTL and GWAS data.

Education

PhD in Biostatistics (2020)
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
Baltimore, MD

BS in Mathematics (2015)
Fudan University
Shanghai, China

Contact

Email: gqi@uw.edu