一、个人简介
I'm an Associate Professor in the School of Statistics at the Southwestern University of Finance and Economics. Perviously, I was a postdoctoral fellow in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, working with Dr. Xihong Lin. I obtained my Ph.D. in Statistics from Purdue University in 2017, under the supervision of Dr. Jun Xie. I received my master's degree in Statistics from Renmin University of China in 2014 and my bachelor's degree in Statistics from Beijing Normal University in 2011.
I'm broadly interested in developing novel statistical methodology that enables researchers to gain insights from massive and complex genetic datasets (e.g., whole-genome sequencing data). In particular, motivated from the need in genetic association studies, I've been heavily working on developing powerful and scalable testing methods for large-scale hypothesis testing, including p-value combination method, power-robust test, dynamic scan procedure, efficient p-value calculation, and sparse testing.


联系方式：liuyw@swufe.edu.cn / yaowuliu615@gmail.com
个人主页：https://yaowuliu.github.io/


二、教授课程
数理统计、现代统计分析方法

三、学术成果
统计学
Li, Z., Liu, Y., and Lin, X. (2020+) Simultaneous Detection of Signal Regions Using Quadratic Scan Statistics With Applications in Whole Genome Association Studies. Journal of the American Statistical Association. Accepted.


Liu, Y. and Xie, J.(2020). Cauchy combination test: a powerful test with analytic p-value calculation under arbitrary dependency structures. Journal of the American Statistical Association. 115(529), 393-402.


Liu, Y. and Xie, J.(2019). Accurate and efficient p-value calculation via Gaussian approximation: a novel Monte-Carlo method. Journal of the American Statistical Association. 114(525), 384-392.


Liu, Y. and Xie, J.(2018). Powerful test based on conditional effects for genome-wide screening. The Annals of Applied Statistics. 12(1), 567.


统计遗传学
Li, X., Li, Z., Zhou, H., Gaynor, S.M., Liu, Y., Chen, H.,,..., and Lin, X. (2020). Dynamic incorporation of multiple in-silico functional annotations empowers rare variant association analysis of large whole genome sequencing studies at scale. Nature Genetics. 52,969–983.


Liu, Y., Chen, S., Li, Z., Morrison, A.C., Boerwinkle, E., and Lin, X. (2019). ACAT: a fast and powerful p-value combination method for rare-variant analysis in sequencing studies. The American Journal of Human Genetics. 104(3), 410-421.


Li, Z., Li, X., Liu, Y., Shen, J., Chen, H., Zhou, H., Morrison, A.C., Boerwinkle, E., and Lin, X. (2019). Dynamic scan procedure for detecting rare-variant association regions in whole genome sequencing studies. The American Journal of Human Genetics. 104(5), 802-814.


应用心理学
Su, R., Zhang, Q, Liu, Y. and Tay, L. (2019). Modeling congruence in organizational research with latent moderated structural equations. Journal of Applied Psychology. 104(11), 1404.


Cao, M., Tay, L. and Liu, Y.(2017). A Monte Carlo study of an iterative Wald test procedure for DIF analysis. Educational and Psychological Measurement. 77(1), 104-118.