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

• Assistant Professor, Department of Mathematics and Statistics, Wright State University, Dayton, 2018-Present
• 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

1. Liu, Y., Sun, W., Hsu, L., & He, Q. (2022). Statistical inference for high-dimensional pathway analysis with multiple responses. Computational Statistics & Data Analysis, 107418.
2. 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.
3. 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.
4. 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.
5. 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.
6. Liu, Y., He, Q., & Sun, W. (2018). Association analysis using somatic mutations. PLoS genetics, 14(11), e1007746. 
7. He, Q.*, Liu, Y.*, & Sun, W. (2018). Statistical analysis of non-coding RNA data. Cancer letters, 417, 161-167. 
8. Liu, Y., & Wang, P. (2018). Selection by partitioning the solution paths. Electronic Journal of Statistics, 12(1), 1988-2017.
9. He, Q.*, Liu, Y.*, Peters, U., & Hsu, L. (2018). Multivariate association analysis with somatic mutation data. Biometrics, 74(1), 176-184. [* Equal contribution]
10. 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.

Google scholar