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Lily Wang, Ph.D.

Lily Wang, Ph.D.

Department:

Public Health Sciences

Division:

Biostatistics

Roles

  • Professor
  • Biography

    Lily Wang, PhD, is a professor in the Department of Public Health Sciences at the University of Miami Miller School of Medicine. She is affiliated with the Sylvester Comprehensive Cancer Center and the John P. Hussman Institute for Human Genomics, where she serves as co-director of the Statistical and Bioinformatics Consulting Core within the Center for Genetic Epidemiology and Statistical Genetics.

    Dr. Wang joined the University of Miami faculty in 2015 after serving as a tenured associate professor of biostatistics at Vanderbilt University School of Medicine in Nashville. Since joining the University of Miami, she has led several National Institutes of Health–funded research projects, applying data science and advanced statistical methods to improve understanding of complex diseases.

    Her research focuses on the development of effective statistical models for the analysis of high-throughput genomics data. Recent work includes the development of mixed-effects models for pathway-based analyses of gene expression data and genome-wide association studies. She has collaborated extensively with clinical and basic science investigators on projects spanning basic science, high-throughput genomics, and clinical trials.
  • Education & Training

    Education

    • 2004
      University of North Carolina at Chapel Hill, Chapel Hill, NC
      PhD, Biostatistics
    • 2000
      University of North Carolina at Chapel Hill, Chapel Hill, NC
      MS, Biostatistics
    • 1998
      Temple University, Philadelphia, PA
      BA, Mathematics, summa cum laude
  • Honors & Awards

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    • Research Interests

      Dr. Wang's research is focused on developing and applying innovative computational models to advance precision medicine in dementia and cancers. Her recent work includes developing methods and tools for analyzing DNA methylation data, integrative analysis of large heterogeneous datasets, and identifying methylation-based biomarkers.
    • Publications

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      • Professional Activities

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