Lei Liu, Ph.D.

Division of Biostatistics

Biomedical Informatics and Data Science Program

  • 314-273-1584

  • 314-273-1584

  • 660 S. Euclid Ave.

  • lei.liu@wustl.edu

  • https://biostatistics.wustl.edu/faculty-staff/908/

  • Biostatistics, data science, machine learning, precision medicine, omics study, biomedical data mining

  • Focused on the analysis of high dimensional omics (epigenetics and microbiome) data, medical cost data, and joint models of multi-outcome data

Research Abstract:

Dr. Lei Liu is a Professor in the Division of Biostatistics at Washington University in St. Louis. He has diverse research interests in biostatistical and data science methods, including survival analysis, longitudinal data analysis, spline regression, personalized medicine, and machine learning. His research is focused on the analysis of high dimensional omics (epigenetics and microbiome) data, medical cost data, and joint models of multi-outcome data. He collaborates with clinicians in various medical fields, e.g., cancer, cardiovascular, addiction, ophthalmology, nephrology, infectious disease, asthma, and diabetes.

Dr. Liu is a Fellow of the American Statistical Association. He is an associated editor of Biometrics and Statistics in Medicine, and an editorial board member of the Journal of the National Cancer Institute and Frontiers in Psychiatry. He is a standing member of NIH Biostatistical Methods and Research Design Study Section (2016-22), the only study section focusing on biostatistical methodology development. He also reviews grants frequently for other NIH study sections and other funding agencies around the world.

Mentorship and Commitment to Diversity Statement:
My commitment to promoting diversity and inclusion in academia is grounded in my personal experience from research and teaching. I have fruitful collaborations with underrepresented minority (URM) colleagues, resulting in over 20 joint publications, and many NIH funded grants. At Washington University in St. Louis, I am a faculty mentor of the NHLBI funded Programs to Increase Diversity among Individuals Engaged in Health-Related Research (PRIDE). Through this program I help promote the research capability of the junior URM faculty members, in particular the grant writing skills. I will continue to pursue efforts to enhance diversity, equity and inclusion

Selected Publications:

Sampling-based estimation for massive survival data with additive hazards model
Zuo, L., Zhang, H., Wang, H. Y. & Liu, L., Jan 30 2021, In: Statistics in medicine. 40, 2, p. 441-450.

Cardiovascular Health Trajectories from Childhood Through Middle Age and Their Association with Subclinical Atherosclerosis
Allen, N. B., Krefman, A. E., Labarthe, D., Greenland, P., Juonala, M., Kähönen, M., Lehtimäki, T., Day, R. S., Bazzano, L. A., Van Horn, L. V., Liu, L., Alonso, C. F., Webber, L. S., Pahkala, K., Laitinen, T. T., Raitakari, O. T. & Lloyd-Jones, D. M., May 2020, In: JAMA Cardiology. 5, 5, p. 557-566.

High-dimensional integrative copula discriminant analysis for multiomics data
He, Y., Chen, H., Sun, H., Ji, J., Shi, Y., Zhang, X. & Liu, L., Dec 30 2020, In: Statistics in medicine. 39, 30, p. 4869-4884

Simple Quasi-Bayes Approach for Modeling Mean Medical Costs
Yoon, G., Jiang, W., Liu, L. & Shih, Y. C. T., May 1 2020, In: International Journal of Biostatistics. 16, 1, 20180122.

Variable selection in joint frailty models of recurrent and terminal events
Han, D., Su, X., Sun, L., Zhang, Z. & Liu, L., Dec 2020, In: Biometrics. 76, 4, p. 1330-1339.

Last Updated: 4/3/2021 3:34:58 PM

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