Education

• Ph.D. in Statistics, Bowling Green State University, OH USA, 2015
• M.S. in Statistics, Wuhan University, Hubei China, 2009
• B.S. in Mathematics, Wuhan University, Hubei China, 2007

Professional Experience

• Associate Professor, Department of Mathematics and Statistics, Wright State University, Dayton, 2024-present
• Assistant Professor, Department of Mathematics and Statistics, Wright State University, Dayton, 2018-2024
• Postdoctoral Research Fellow, Biostatistics Program, Fred Hutchinson Cancer Research Center, Seattle, 2015-2018

Research Interests

• Statistical genetics, genomics
• High dimensional statistical inference, feature selection, dimension reduction
• Computational statistics, machine learning, graphical models

Selected Publications

Liu, Y. (2025). Pathway-based genetic association analysis for overdispersed count data. Journal of Applied Statistics, 1-15.

Liu, M., Su, Y., Liu, Y., Hsu, L., He, Q. (2024) Structured Testing of Somatic Mutations in Association with Mixed Clinical Outcomes. Genetic Epidemiology, 48(5), 226-237.

Liu, M., Liu, Y., Hsu, L., He, Q. (2024) TCRpred: incorporating T-cell receptor repertoire for clinical outcome prediction. Frontiers in Genetics, 15, 1345559.

Liu, M., Goo, J., Liu, Y., Sun, W., Wu, M. C., Hsu, L., He, Q. (2022). TCR-L: an analysis tool for evaluating the association between the T-cell receptor repertoire and clinical phenotypes. BMC bioinformatics, 23(1), 1-16.

Liu, Y., Sun, W., Hsu, L., & He, Q. (2022). Statistical inference for high-dimensional pathway analysis with multiple responses. Computational Statistics & Data Analysis, 107418.

He, Q.*, Liu, Y.*, Liu, M., Wu, M. C., & Hsu, L. (2021). Random effect based tests for multinomial logistic regression in genetic association studies. Genetic Epidemiology, 45(7), 736-740.

Liu, M.*, Liu, Y.*, Wu, M. C., Hsu, L., & He, Q. (2021). A method for subtype analysis with somatic mutations. Bioinformatics, 37(1), 50-56.

Yang, J., Liu, Y., Liu, Y., & Sun, W. (2021). Model free estimation of graphical model using gene expression data. The Annals of Applied Statistics, 15(1), 194-207.

Liu, Y., Sun, W., Reiner, A. P., Kooperberg, C., & He, Q. (2019). Statistical inference of genetic pathway analysis in high dimensions. Biometrika, 106(3), 651-651.

Liu, Y., He, Q., & Sun, W. (2018). Association analysis using somatic mutations. PLoS genetics, 14(11), e1007746. 

He, Q.*, Liu, Y.*, & Sun, W. (2018). Statistical analysis of non-coding RNA data. Cancer letters, 417, 161-167. 

Liu, Y., & Wang, P. (2018). Selection by partitioning the solution paths. Electronic Journal of Statistics, 12(1), 1988-2017.

He, Q.*, Liu, Y.*, Peters, U., & Hsu, L. (2018). Multivariate association analysis with somatic mutation data. Biometrics, 74(1), 176-184. [* Equal contribution]

He, Q., Cai, T., Liu, Y., Zhao, N., Harmon, Q. E., Almli, L. M., ... & Wu, M. C. (2016). Prioritizing individual genetic variants after kernel machine testing using variable selection. Genetic epidemiology, 40(8), 722-731.

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