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Faculty Profile

lu-xi-web.jpgXi Lu

Assistant Professor
Department of Pharmaceutical Health Outcomes and Policy

Office: 
University of Houston College of Pharmacy
Health 2, Room 4056
4349 Martin Luther King Boulevard
Houston, TX 77204-5047

Contact: xlu20@uh.edu - 713-743-6701

Research:

  • Statistical machine learning for high/ultra-high dimensional data
  • Robust Bayesian variable selection for cancer genomics data
  • Robust methods in mixed effects model for longitudinal studies
  • Robust variable selection in survival analysis
  • Robust regularized variable selection and its applications for multi-omics data analysis
  • Ph.D. in Statistics, Kansas State University
  • M.A. in Statistics, Columbia University
  • B.S. in Mathematics and Applied Mathematics, East China Normal University
Google Scholar Profile

Peer-reviewed Journal Articles

  • Lu, X., and Wu, C. (2023). R Package 'Bayenet': Package 'Bayenet': Bayesian quantile elastic net for genetic study. R package version 0.2 [Bayenet]
  • Lu, X., and Wu, C. (2023). R Package 'marble': robust marginal Bayesian variable selection for gene-environment interactions. R package version 0.0.2. [marble]
  • Zhou, F., Lu, X., Ren, J., Ma, S. and Wu, C. (2022). Sparse Group Variable Selection for Gene-Environment Interactions in the Longitudinal Study. Genetic Epidemiology, 46(5-6), 317-340.
  • Lu, X., Fan, K., Ren, J. and Wu, C. (2021). Identifying Gene-Environment Interactions with Robust Marginal Bayesian Variable Selection. Frontiers in Genetics. 12:667074.
  • Du, Y., Fan, K., Lu, X., Wu, C. (2021). Integrating Multi-Omics Data for Gene-Environment Interactions. Bio Tech, 10(1), 3.
  • Zhou, F., Ren, J., Lu, X., Ma, S. and Wu, C. (2021). Gene-Environment Interaction: A Variable Selection Perspective. Epistasis. Methods and Protocols. 191-223.
  • Zhou, F., Liu, Y., Lu, X., Ren, J., and Wu, C. (2021). R Package 'Springer': Sparse group variable selection for gene-environment interaction in the longitudinal study. R package version 0.1.8. [Springer].

Presentations

  • "Robust integration of multi-omics data for Gene-Environment Interactions. International Chinese Statistical Association," International Chinese Statistical Association Annual Conference, 2019
  • "Identification of Gene-Environment interactions using a marginal robust Bayesian method. Joint Statistical Meeting," American Statistical Association Joint Statistical Meetings, 2020

Honors & Awards

  • Lolafaye Coyne Statistics Graduate Research Scholarship, Kansas State University, 2024
  • Lolafaye Coyne Statistics Graduate Research Scholarship, Kansas State University, 2020
  • Reviewer for BMC Genomics, 2020
  • Lin Statistics Graduate Research Scholarship, Kansas State University, 2020
  • Graduate Student Council Travel Award, Kansas State University, 2019