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韩莎莎，2023年以引进人才身份加入群医学及公共卫生学院，研究员，博士生导师，医学统计与数字健康照护课题组组长。博士毕业于新加坡国立大学NUS商学院数据分析与运筹学方向；期间在哈佛商学院、哈佛大学艺术与科学学院统计系、麻省理工大学运筹学中心、麻省理工大学数据科学中心交流访问。加入前在北京大学北京国际数学中心、哈佛医学院从事博士后工作。
She endeavors to forge a scientific basis for harnessing the power of mathematics and technology to address unmet needs in healthcare. Her group fosters a culture of innovation and collaboration, continuously pushing the boundaries of what is possible in digital health care. They actively cooperate with outstanding teams in China and abroad. Her research has been published in top academic journals in medicine, mathematics, and multidisciplinary areas, covered by over 200 media outlets abroad, and cited by the OECD. Her research is supported by the National Key Research and Development Programs, the National Natural Science Foundation, the Chinese Academy of Medical Sciences innovation engineering projects, etc.
Health studies: Digital Health Care, Health Policy, Healthcare Operations
Methodologies: Applied statistics (Causal Inference), Study design, Data-driven Optimization
“桃李不言，下自成蹊”。我们是一群乐在其中的现实问题解决大师，手托交叉学科的武器盲盒，化身为探索未知科学世界的勇敢探险家。我们以真心待人为帆，以用心做事为舵，微光前行。我们诚邀具有高度自我驱动力和团队合作精神的海内外学子（理工科本科背景优先）共赴征途。愿乘你之长风，共破万里浪！
(2025年1月新春团拜会团队成员和蛇蛇合照)
------这里是2024年分割线------
(2024年1月新春团拜会团队成员和龙龙合照)
(2024年 6月赴桂林考察调研 团队成员和桂林医学院附属医院及健康管理中心专家合照)
（2024年10月 万圣节团建活动）
------这里是团队成员介绍分割线------
2024级学生
陶新戈，学术型博士。本科毕业于天津医科大学，康复治疗学专业。硕士毕业于厦门大学，健康大数据与智能医学专业。
黎赛然，学术型硕士。本科毕业于北京师范大学，统计学。
蒙恩，专业型硕士。本科毕业于山东大学，预防医学。
2023级学生
陈王跃，学术型博士。本科毕业于成都医学院，预防医学；硕士毕业于北京协和医学院，流行病与卫生统计学。
柯嘉雯，直博研究生，目前处于硕士生培养阶段。本科毕业于中南大学，预防医学。
合作导师：邵瑞太
周书雅，学术型硕士。本科毕业于青岛大学，预防医学。
沈木子，专业型硕士。本科毕业于华中科技大学，护理学。
已毕业：
邓亚敏，学术型博士。合作导师：王建伟。
马雪迪，学术型博士。合作导师：王辰。
Grants and Funds
1. 江西省重大科技研发专项，健康状态与共病模式动态演变及智能辨识关键技术研究（项目编号：20244AFI92004；项目起止年月：2025.01-2027.12；项目资金：2100万元），课题负责人。
Co-PI, Key Research and Development Program of Jiangxi Province, Study of dynamic health status and multimorbidity patterns and intelligent recognition technologies (No. 20244AFI92004, Jan 2025 - Dec 2027; 21 million RMB)
2. 国家自然科学基金青年科学基金项目，面向老龄人群数字健康照护的因果优化方法和应用研究（项目编号：8230122139；项目起止年月：2024.01-2026.12；项目资金：30万元），项目负责人。
PI, National Natural Science Foundation of China Youth Science Fund Project. Causal inference and optimization methods research for digital health care for the elderly (No. 8230122139, Jan 2024- Dec 2026, 0.3 million RMB).
3. 中国医学科学院医学与健康科技创新工程医学健康领军科技人才养募专项，基于现实世界大数据的最优数字医疗健康照护干预模型研究（项目编号：2023-I2M-3-008；项目起止年月：2023.04- 2028.03 ；项目资金：500万元），项目负责人。
PI, Chinese Academy of Medical Sciences Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences. Research on the optimal digital health care model based on real-world big data (No. 2023-I2M-3-008, Apr 2023- March 2028, 5 million RMB).
4. 十四五国家重点研发计划, 面向药品现代化监管的智能化服务平台研发与应用，（项目编号：2021YFF0901400；项目起止年月：2021.11-2024.11； 项目资金：5976万元），骨干参与成员
Key participation, National Key Research & Development. Development and application of intelligent service platform for modern drug supervision (No. 2021YFF0901400, Dec 2021- Nov 2024, 59.76 million RMB).
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支持扩展名：.rar .zip .doc .docx .pdf .jpg .png .jpegCurrent projects
1. 智慧医院照护系统运营管理优化研究
2. 数字健康照护技术现实世界适用及推广研究
3. 共病照护需求分析和照护模型构建
4. 面向最优照护的数据融合建模研究
5. 增龄健康照护负担评估方法及模型研究
1. Shasha Han. Facilitating patient portal shared access to support age-friendly health care. JAMA Network Open. 2025:8(2).
1. Peng Wu#, Shasha Han#, Xingwei tong, Runze Li* . Propensity score regression for causal inference with treatment heterogeneity. Statistica Sinica. 2024:34(2).
2. Shasha Han, Joel Goh*, Melvin Khee-Shing Leow, Donald Rubin. Contrast-specific propensity scores for causal inference with multiple interventions. Statistical Methods in Medical Research. 2024:33(5).
3. Shasha Han*, Sairan Li, Yunhaonan Yang, Lihong Liu, Libing Ma, Zhiwei Leng, Frances S Mair, Christopher R Butler, Bruno Pereira Nunes, J. Jaime Miranda, Weizhong Yang, Ruitai Shao, Chen Wang*. Mapping multimorbidity progression among 190 diseases. Communications Medicine. 2024:4(139). [Behind the paper][Codes]
2023 年
1. Shasha Han#*, Binbin Su#, Yihao Zhao, Chen Chen, Xiaoying Zheng*. Widening rural–urban gap in life expectancy in China since COVID-19. BMJ Global Health. 2023;8:e012646.
2. Yamin Deng#, Shasha Han#, Jue Liu, Li Guo, Luzhao Feng, Yilan Liao, Zhixing Peng, Lili Ren*, Weizhong Yang*, Jianwei Wang*.The risks of death and hospitalizations associated with SARS-CoV-2 Omicron declined after lifting testing and quarantining measures. Journal of Infection. 2023:86(5): e123-e125.
3. Zhihui Yang#, Shasha Han#, Peng Wu#, Mingyue Wang, Ruoyu Li, Xiao-Hua Zhou*, Hang Li*. Modeling post-treatment prognosis of skin lesions in psoriasis: A large cohort study in China. JAMA Network Open. 2023: 6(4): e236795-e236795.
4. Shasha Han#, Ting Zhang#, Yan Lyu#, Shengjie Lai, Peixi Dai, Jiandong Zheng, Weizhong Yang, Xiao-Hua Zhou*, Luzhao Feng*. Influenza’s plummeting during the COVID-19 pandemic: The roles of mask wearing, mobility change and SARS-CoV-2 interference. Engineering. 2023;2(1): 195-202. [Codes]
5. Shasha Han, Xiao-Hua Zhou*. Defining estimands in clinical trials: A unified procedure. Statistics in Medicine. 2023;42(12): 1869-1887.
6. 韩莎莎*, 吴鹏, 王则一, 崔逸凡, 杨浩翔, 周正元, Larry Han, 杨林, 贾金柱, 邵瑞太*, 王辰. 基于群数据科学研究的报告规范: TRIPOD-Cluster指南清单解读及拓展. 数字医学与健康, 2023:1(1).
2023年之前
1. Shasha Han, Xiao-Hua Zhou. (2022). Causal Inference in Biostatistics. In: Lu, H.HS., Schölkopf, B., Wells, M.T., Zhao, H. (eds) Handbook of Statistical Bioinformatics. Springer Handbooks of Computational Statistics. Springer, Berlin, Heidelberg.
2. Shasha Han, Libing Ma*. Data-driven integrated care pathways: Standardization of delivering patient-centered care. Frontiers in medicine. 2022;9: 883874.
3. Shasha Han, Libing Ma, Ting Zhang, Luzhao Feng, Weizhong Yang, Xiaoying Zheng*. City-Specific Effects of Lifting Mobility Restrictions—China, February–March 2020.China CDC Weekly. 2022;4(3): 673-679.
4. Shasha Han#, Jun Cai#, Juan Yang,Juanjuan Zhang,Qianhui Wu, Wen Zheng, Huilin Shi,MarcoA jelli, Xiao-HuaZhou*, Hongjie Yu*. Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity. Nature Communications. 2021; 12: 4673. [Behind the paper][Codes]
5. Shasha Han#, Ting Zhang#, Yan Lyu#, Shengjie Lai, Peixi Dai, Jiandong Zheng, Weizhong Yang, Xiao-Hua Zhou*, Luzhao Feng*. The Incoming Influenza Season - China, the United Kingdom, and the United States, 2021-2022. China CDC Weekly. 2021;2(1): 195-202. [Codes]
6. Shasha Han*, Donald Rubin. Contrast-specific propensity scores. Biostatistics & Epidemiology. 2021:1-8.
7. Shasha Han, Shuangchi He, Hongchoon Oh. Data-driven inpatient bed assignment: A P-model approach to boarding and overflowing. [arxiv]
8. Shasha Han, Tait Shanafelt, Christine Sinsky, Karim Awad,Liselotte Dyrbye, Lynne Fiscus, MickeyTrockel, Joel Goh* Estimating the attributable cost of physician burnout in the United States. Annals of Internal Medicine. 2019: 170 (11):784–790 (C100, ESI, R, ProQuest High Attention Score, 被200多家海外媒体报道,被经济合作与发展组织健康工作指南 OECD Health Working Paper No.130 引用).
（注释：#共同一作，*通讯作者。）
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