周洁，首师大数科院教授，中科院应用所博士，华盛顿大学博士后，曾前往香港中文大学交流访问。主要从事生存数据、复发事件数据以及纵向数据等复杂数据的统计建模与推断的理论和应用研究，近年来也开始涉足大数据分析、深度学习等领域的研究。主持国家自然科学基金3项，在国内外重要统计学杂志上发表SCI论文20余篇，其中统计学著名期刊《Journal of the American Statistical Association》 (JASA) 1 篇，《Statistical Science》1 篇，《Biometrics》2 篇，《Statistica Sinica》1篇。担任了“全国工业统计学教学研究会”等多个国家与地方统计学学术团体的理事，参与了《中国大百科全书》第三版统计学学科部分条目的撰审工作。 此外，还承担了《Statistica Sinica》、《Computational Statistics and Data Analysis》、《中国科学：数学》以及《数学学报》等国内外著名统计学期刊的匿名审稿工作。

[1] Jie Zhou, Xiao-hua Zhou, Liuquan Sun (2021), Comparison of Two Frameworks for Analyzing Longitudinal Data. Statistical Science, 530-541
[2] Jie Zhou, Xin Chen, Xinyuan Song, Liuquan Sun (2020), A joint modeling approach for analyzing marker data in the presence of a terminal event, Biometrics, 77, 150-161.
[3] Zhou J , Song X , Sun L. Continuous time hidden Markov model for longitudinal data. Journal of Multivariate Analysis, 2020, 179:104646.
[4] 周洁*，周晓华，孙六全, 带终止事件纵向数据半参数部分线性单指标模型，中国科学：数学 (2019), 73-88.
[5] Zhou, Jie , Zhang, Haixiang, Sun, Liuquan, Sun, Jianguo(2017). Joint analysis of panel count data with informative observation process and a dependent terminal event. Lifetime Data Analysis, 560-584.
[6] 周洁， 病例- 队列研究中可加可乘风险模型的有效估计。中国科学 (2016)，1337-1350.
[7] Zhou, Jie, Zhao, Xingqiu and Sun, Liuquan (2013). A New Inference Approach for Joint Models Of Longitudinal Data With Informative Observation And Censoring Times. Statistica Sinica.,23, 571-593.
[8] Wang, Chunjie, Sun, Jianguo, Sun, Liuquan, Zhou, Jie and Dehui, Wang (2012). Nonparametric Estimation of Competing Risks with Application to Dependent Current Status Data. Lifetime Data Analysis. 18, 434-445.
[9] Sun, Liuquan, Song, Xinyuan, Zhou, Jie and Lei, Liu (2012). Joint Analysis of Longitudinal Data with Informative Observation Times and a Dependent Terminal Event. J. Amer. Statist. Assoc., 107 688-700
[10] Zhao, Xingqiu, Zhou, Jie and Sun, Liuquan (2011). Transformation models with time-varying coefficients for recurrent and terminal events. Biometrics, 67, 404-414.

本科生课程：高等代数习题课，概率论，数理统计，概率论与数理统计，多元统计
研究生课程：随机过程，统计计算，大数据挖掘与机器学习

1) 基于一类新的Gamma分布脆弱变量双指数Cox模型的联合建模，国家自然科学基金面上项目, 2022.01-2025.12, 50万， 主持；
2) 大数据背景下的非平衡数据分析， 北京市教委一般项目， 2020.01-2022.12， 15万， 主持；
3) 纵向标记数据的带信息建模与推断, 国家自然科学基金面上项目, 2017.01-2020.12, 47万， 主持；
4) 带终止事件纵向数据的统计推断及纵向数据分析框架探讨. 国家自然科学基金青年项目，2013.01-2016.12，22万， 主持.
5) 利用倾向得分函数进行因果推断时的高维问题研究，北京市留学人员科技活动项目择优资助优秀项目，2014.01-2016.12，8万，主持.
6) 《数理统计》国家一流本科课程建设—-线下一流课程，第三参与人。

Jie Zhou, Professor at School of Mathematics, Capital Normal University. Jie received his PhD degree from Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences. He also finished his post-doctoral study at University of Washington and his visiting scholarship at Chinese University of Hong Kong. His research focuses on the theory and application of statistical modeling and inference of complex data including survival data, recurrent event data, and longitudinal data. In recent years, he has also been focusing on big data and deep learning. Jie has obtained 3 research grants from National Natural Science Foundation of China, published more than 20 papers in leading journals including JASA, Biometrics, Statistical Science, Statistica Sinica, etc, served as the director of many national and local statistical academic groups such as `National Industrial Statistics Teaching and Research Association’，and participated in editing and reviewing of the third edition of `Encyclopedia of China'. In addition, Jie also undertook review works for some well-known domestic and foreign statistical journals such as `Statistica Sinica', `Computational Statistics and Data Analysis', 'Science of China: Mathematics' and 'Acta Mathematica', etc.