معرفی
Xi Lu is an Assistant Professor at the University of Houston College of Pharmacy, affiliated with the Department of Pharmaceutical Health Outcomes and Policy. Their research focuses on applying statistical machine learning to high-dimensional and longitudinal data, particularly in the context of cancer genomics and gene-environment interactions.
- Ph.D. in Statistics, Kansas State University
- M.A. in Statistics, Columbia University
- B.S. in Mathematics and Applied Mathematics, East China Normal University
Xi Lu's work emphasizes robust Bayesian and regularized variable selection methods in genomics and multi-omics data analysis. Key applications include survival analysis, mixed-effects modeling, and software development for statistical genetics.
Recent publications highlight the development of R packages like Bayenet and marble, which address robust variable selection in genetic studies. These works span computational biology, high-dimensional data analysis, and methodological advancements in longitudinal research.
- Lolafaye Coyne Statistics Graduate Research Scholarship (2024, 2020)
- Lin Statistics Graduate Research Scholarship (2020)
- Graduate Student Council Travel Award (2019)
