个人经历：
2022年4月至今，西南财经大学统计学院，教授
2020年4月-2022年3月，西南财经大学统计学院,副教授
2019年10月-2020年4月，西南财经大学统计学院,讲师
2017年08月-2019年10月,哈佛大学,博士后
2017年08月,普渡大学统计学,博士
2014年07月,中国人民大学统计学专业,硕士
2011年07月,北京师范大学统计学专业,本科
         
  招生信息：
本课题组招收硕士和博士研究生，招生需求如下：1. 有志于做学术研究（对于硕士）；2. 对由应用问题驱动的统计方法和理论感兴趣；3. 具有较好的数学或数理统计基础；4. 熟练掌握R或python编程语言。欢迎感兴趣的同学与我联系，将个人简历和成绩单发送至yaowuliu615@gmail.com。            

Statistics

Liu, Y., Liu, Z., and Lin, X. (2023+) Ensemble methods for testing a global null. Journal of the Royal Statistical Society: Series B (Statistical Methodology) . In press.

Liu, Y., Li, Z., and Lin, X. (2022) A Minimax Optimal Ridge-Type Set Test for Global Hypothesis with Applications in Whole Genome Sequencing Association Studies. Journal of the American Statistical Association. 117(538), 897-908.

Li, Z., Liu, Y., and Lin, X. (2022) Simultaneous Detection of Signal Regions Using Quadratic Scan Statistics With Applications in Whole Genome Association Studies. Journal of the American Statistical Association. 117(538), 823-934.

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.


Statistical Genetics

Li, X., Quick, C., Zhou, H., Gaynor, S., Liu, Y., Chen, H., …, Li, Z., Lin, X. (2023). Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole-genome sequencing studies. Nature Genetics, 55, 155-164.

Li, Z., Li, X., Zhou, H., Gaynor, S.M., Selvaraj, M., Arapoglou, T., Quick, C., Liu, Y., Chen, H., …, Lin, X. (2022). A framework for detecting noncoding rare variant associations of large-scale whole-genome sequencing studies. Nature Methods, 19, 1599–1611.

Li, X., Yung, G., Zhou, H., Sun, R., Li, Z., Liu, Y., Ionita-Laza,I., Lin, X. (2022). A Multi-dimensional Integrative Scoring Framework for Predicting Functional Regions in the Human Genome. The American Journal of Human Genetics. 109(3), 446-456.

Liu, Y., Zhang, X., Lee, J., Smelser, D., Cade, B., Chen, H., Zhou, H., Kirchner, H.L., Lin, X., Mukherjee, S., Hillman, D., Liu, C., Redline, S. and, Sofer, T. (2021). Genome-wide association study of neck circumference identifies sex-specific loci independent of generalized adiposity. International Journal of Obesity. 45, 1532-1541.

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.


Applied Psychology

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.

1. 大规模遗传关联性分析中的假设检验方法，国家自然科学基金青年科学基金项目（C类）2021.01-2023.12