副教授，博士生导师；本科毕业于sbobet·利记，硕士及博士就读于澳大利亚昆士兰大学，在美国伊利诺伊大学厄巴纳-香槟分校从事博士后研究，于2018年10月入职sbobet·利记。
研究方向：统计学、应用统计、生物统计；
研究兴趣：复杂疾病预测和防控、海洋科学中的统计建模；
主要科研项目
1. 癌症、心脑血管、呼吸和代谢性疾病防治研究国家科技重大专项：《基于“虚-瘀-毒”核心病机理论下灯盏细辛-灯盏生脉序贯治疗急性缺血性卒中的时空效应解析及机制研究》，2025.08-2029.07；参与单位sbobet·利记负责人
2. 国家自然科学基金-青年项目《基于传染性疾病干预政策的因果推断研究》，2021.01-2023.12；主持
3. 广东省自然科学基金-面上项目《异质性慢性疾病数据中的缺失机制的非参数方法的研究及应用》，2021.01-2023.12；主持
部分发表文章
1. Ting Tian, Jianbin Tan, Wenxiang Luo, Yukang Jiang, Miqong Chen, Songpan Yang, Canhong Wen, Wenliang Pan, and Xueqin Wang,"The effects of stringent and mild interventions for coronavirus pandemic", Journal of the American Statistical Association, 2021, 116(534): 481-491.
2. Ting Tian, Jingwen Zhang, Liyuan Hu, et al,"Risk factors associated with mortality of COVID-19 in 3125 counties of the United States", Infectious Diseases of Poverty, 2021, 10(1).
3. Ting Tian, Jianbin Tan, Yukang Jiang, Xueqin Wang, and Heping Zhang,"Evaluate the risk of resumption of business for the states of New York, New Jersey and Connecticut via a pre-symptomatic and asymptomatic transmission model of COVID-19", Journal of Data Science, 2021, 19(2): 178-196. (Discussion paper)
4. Ting Tian, Wenxiang Luo, Jianbin Tan, Yukang Jiang, Minqiong Chen, Songpan Yang, Jiashu Zhao, Xueqin Wang, and Heping Zhang,"The timing and effectiveness of implementing mild interventions of COV ID-19 in large industrial cities via a synthetic control method", Statistics and Its Interface, 2021, 14(1): 3-12. (Discussion Paper)
5. Zhuoming Zhou, Bohao Jian, Xuanyu Chen, et al, "Heterogeneous treatment effects of coronary artery bypass grafting in ischemic cardiomyopathy: A machine learning causal forest analysis", The Journal of Thoracic and Cardiovascular Surgery, 2024, 168(5):1462-1471.
6. Meiyan Huang, Xiaoling Zhang, Xiumei Chen, et al, "A phenome-wide association and Mendelian randomization study for suicide attempt within UK Biobank", Molecular Psychiatry, 2026, 31:1051–1060.
7. Xiumei Chen, Wenliang Pan, Tao Wang, et al, "Dual adaptive disentangled representation learning with multimodal data for disease diagnosis", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026, 48(6), 7177-7194.
8. Min Yang, Wei Zheng, John Stufken, et al, "Subdata selection: A unified framework for optimal selection and statistical efficiency assessment", Accepted by NeurIPS 2026.
