姓名： 尹雪晴

职称： 讲师

研究方向： 疾病制图 

开设课程： 高等数学   R软件入门  

电子邮箱： yinxueqing@lnu.edu.cn 

个人简历    

教育及工作经历：（本科阶段排在前）

2012-09至2016-06 ，南京财经大学，经济学院，学士 

2016-09至2017-11，University of Glasgow，数学与统计学院，硕士  

2019-01至2022-12，University of Glasgow，数学与统计学院，博士

2022-08至2023-11，University of Bristol，地理科学学院，博士后

2024-11至今 ，       辽宁大学，数学与统计学院，讲师 

主要成果：（截至2026年7月）：    

1. 科研项目： 

[1]辽宁省博士科研启动基金项目，2025-BS-0296，区域疾病风险推断下的自适应贝叶斯空间建模方法研究，2025.08-2027.07

[2]国家自然科学基金数学天元项目，12526542，自适应贝叶斯条件自回归与机器学习融合的疾病制图方法研究，2026.01-2027.12

2. 代表性论文：

[1] Yin X, Wang Y. Spatiotemporal trends and associated factors of HIV/AIDS, syphilis, and gonorrhea incidence in China: A Bayesian disease mapping study with spatially varying coefficients[J]. Spatial and Spatio-temporal Epidemiology, 2026: 100795.

[2] Yin, X., Anderson, C., Lee, D. & Napier, G. Risk estimation and boundary detection in Bayesian disease mapping. The International Journal of Biostatistics, 2025, 21(1), 129-150.

[3] Aiken J M, Jones G, Yin X, Abele A K, Woods C, Westaway R M, Bamber J L. 4DModeller: A spatio-temporal modelling package[J]. Journal of Open Source Software, 2025, 10(106): 7047.

[4] Yin X, Aiken J M, Harris R, et al. A Bayesian spatio-temporal model of COVID-19 spread in England[J]. Scientific Reports, 2024, 14(1): 10335.

[5] Wang Y, Yin X. Modelling coronary flow and myocardial perfusion by integrating a structured-tree coronary flow model and a hyperelastic left ventricle model[J]. Computer Methods and Programs in Biomedicine, 2024, 243: 107928.

[6] Yin X, Wang Y. Effect of pulmonary regurgitation on cardiac functions based on a human bi-ventricle model[J]. Computer Methods and Programs in Biomedicine, 2023, 238: 107600.

[7] Yin, X., Aiken, J. M, & Bamber, J. L. 4DModeller (fdmr): A Comprehensive R Package for Spatio-Temporal Modelling[J]. UC Santa Barbara: Center for Spatial Studies, 2023, http://dx.doi.org/10.25436/E27C7F.

[8] Yin X, Napier G, Anderson C, et al. Spatio-temporal disease risk estimation using clustering-based adjacency modelling[J]. Statistical Methods in Medical Research, 2022, 31(6):1184-1203.