Ran Tao

Ran Tao is an Associate Professor of Biostatistics at the Department of Biostatistics, Vanderbilt University Medical Center. Their research focuses on advanced statistical methods for genomic and proteomic data analysis, with particular emphasis on pharmacogenetics, polygenic risk prediction, and multi-ancestry genetic studies.

Research Highlights:

• Development of the sleev R package for error-in-variables likelihood estimation
• Innovative approaches for integrating endophenotypes into polygenic risk scoring (EndoPRS)
• Leadership in multi-ethnic GWAS studies for breast cancer, kidney disease, and cardiovascular outcomes
• Expertise in two-phase study designs and longitudinal data analysis

Key Collaborations: Works closely with the Million Veteran Program (MVP) and participates in global biobank initiatives.

Methodological Interests: Their work spans Mendelian randomization, multi-omics integration, and causal association modeling across diverse populations.