李宣静，清华大学博士，上海交通大学医学院博士后，研究方向包括慢病防控、卫生经济学评估、以及医疗资源配置优化。

     2015 – 2020，清华大学 工业工程 博士

     2018 – 2019，美国佛罗里达大学 系统工程 国家留学基金委联合培养博士项目

     2011 – 2015，东北大学 工业工程 学士

     2025 – 至今，上海交通大学医学院 助理研究员

     2023 – 2025，上海交通大学医学院 师资博士后

     2020 – 2023，北京京东世纪贸易有限公司 算法工程师

• 卫生政策与经济学评估

• 数据驱动的患者预后评估与诊疗资源调度

• 机器学习与人工智能在个体化医疗与卫生政策管理的应用

1. 面向高血压衰弱共病管理的数字表型风险识别与分层干预动态优化研究，国家自然科学基金青年项目，2027-2029年，主持。

2. 基于系统仿真模型的心血管疾病风险预测及政策干预评估研究，上海交通大学新进青年教师启动计划，2026-2028年，主持。

3. 慢病管理优化，上海市师资博士后项目，2023-2025，主持/已结题。

4. 数据驱动的危重患者评估和医疗服务运营决策研究，国家自然科学基金面上项目，2019-2022，参与/已结题。
   

11. Li, X., Ding, X., Tian, M., Huang, L., Li, Z., Zhao, Y., Zhou, B., Wu, Y., Neal, B., Chen, Q., Yan, L.L., & Li, Y. Lifetime health benefits, costs, and cost-effectiveness of salt substitution for stroke survivors in China: a microsimulation modeling study. Lancet Reg Health West Pac. 2026;72:101914. https://doi.org/10.1016/j.lanwpc.2026.101914
10. He, Y., Li, X.*, Liu, C., Wong, S., Fan, B., Xu, D., ... & Li, Y. The Impact of Adopting Whole-Genome Sequencing for Tuberculosis Diagnosis in China: A Cost-Effectiveness Analysis. Open Forum Infect Dis. 2026;13(4):ofag173. https://doi.org/10.1093/ofid/ofag173
9. Li, X., Lv, Y., Gao, X., Fan, B., He, Y., Zhao, S., ... & Li, Y. Cost-effectiveness of expanding home cook interventions for salt reduction in China. Am J Prev Med. 2025;108203. https://doi.org/10.1016/j.amepre.2025.108203
8. Zhao, S.*, Li, X.*, Gao, X., Lv, Y., Cao, Y., Mi, G., Wang, H., Niu, L., & Li, Y. Ranking factors across multiple domains in predicting adolescent mental health: a Bayesian machine learning approach. Child Adolesc Psychiatry Ment Health. 2025;19(1):111. https://doi.org/10.1186/s13034-025-00969-3
7. Fan, B.*, Li, X.*, Lv, Y., Gao, X., Zhao, S., Liu, X., & Li, Y. (2025). Cost-Effectiveness of Increasing Outdoor Activity in Preventing Myopia in Children and Adolescents in China. China CDC Weekly. 2025;7(28):947-951. https://doi:10.46234/ccdcw2025.158
6. Xiang, S., Ye, X., Li, X., Chen, P., & Zhao, S. (2025). The pathway from childhood unpredictability to somatic symptoms among college students: The mediating role of anxiety symptoms and the moderating role of coping strategies. Journal of Affective Disorders. https://doi.org/10.1016/j.jad.2025.119749
5. Xu, Y.*, Yin, C.*, Jia, H.*, Li, X.*, Zhao, S., Lv, Y., Jia, S., Meng, Y., & Gao, X. (2025). Global, regional, and national burdens of eating disorders in adolescents and young adults aged 10–24 years from 1990 to 2021, with projections to 2040. Journal of Affective Disorders. https://doi.org/10.1016/j.jad.2025.119680
4. Lin, H., Huang, Y., Liu, M., Li, X., Wu, L., Ji, S., Hou, T., & Li, S. Z. (2025). Diffbp: Generative Diffusion of 3d Molecules for Target Protein Binding. Chemical Science, 16(3), 1417-1431. https://doi.org/10.1039/d4sc05894a
3. Zhong, X., Li, X., & Mangoni, S. (2023). A Review of Agent-Based Modeling Applications in Substance Abuse Policy Research. 2023 Winter Simulation Conference (WSC), pp. 150-161. IEEE. https://doi.org/10.1109/WSC60868.2023.10407530
2. Li, X., Liu, D., Yang, M., Fry, M., & Xie, X. (2020). Staffing Decisions in a Tele-ICU: Dedicated versus Flexible Resources. IISE Transactions on Healthcare Systems Engineering, 10(3): 172-183. https://doi.org/10.1080/24725579.2020.1749911
1. Li, X., Liu, D., Geng, N., & Xie, X. (2019). Optimal ICU Admission Control with Premature Discharge. IEEE Transactions on Automation Science and Engineering, 16(1), 148-164. https://doi.org/10.1109/TASE.2018.2827664 (IEEE机器人与自动化国际会议2020年度最佳创新应用论文)