博士后

个人信息
  • 姓名:闫仃仃
  • 部门:统计系
  • 职称:
  • 荣誉:
  • 电子邮件:dingdingyan@nwu.edu.cn
  • 研究方向:生物数学-随机药物动力学,传染病动力学,多尺度建模与数据分析
个人简介



学习经历:

2015.09-2019.06 陕西师范大学,数学与应用数学专业,理学学士学位

2019.09-2025.06 陕西师范大学,应用数学专业,理学博士学位

2023.11-2024.11 约克大学,应用数学专业,国家公派联合培养博士生

工作经历:

2025.06至今 西北大学,数学学院,博士后


项目、成果、论文、奖励



学术论文

1. Dingding Yan, Mengqi He, Sanyi Tang. Uncertainty quantification for the random HIV dynamical model driven by drug adherence. Journal of Theoretical Biology, 2024, 592: 111895.

2. Dingding Yan, Mengqi He, Robert A. Cheke, Sanyi Tang. A stochastic hormesis Ricker model and its application to multiple fields. Chaos, Solitons & Fractals, 2024, 185: 115131.

3. Dingding Yan, Xiaotian Wu, Jun Li, Sanyi Tang. Statistical analysis of two-compartment pharmacokinetic models with drug non-adherence. Bulletin of Mathematical Biology, 2023, 85(7): 65.

4. Dingding Yan, Biao Tang, Zhihang Peng, Libin Rong, Sanyi Tang. Stochastic HIV model coupled with pharmacokinetics and drug adherence may explain intermittent viral blips. Applied Mathematics Letters, 2022, 133: 108242.

5. Dingding Yan, Xiaotian Wu, Sanyi Tang. Statistical analysis of one-compartment pharmacokinetic models with drug adherence. Journal of Pharmacokinetics and Pharmacodynamics, 2022: 1-17.

6. Sha He, Dingding Yan, Hongying Shu, Sanyi Tang, Xia Wang, Robert A. Cheke. Randomness accelerates the dynamic clearing process of the COVID-19 outbreaks in China. Mathematical Biosciences, 2023, 363: 109055.

7. Sanyi Tang, Xin Feng, Dingding Yan, Juhua Liang, Lili Liu, Yanni Xiao, Biao Tang, Robert A. Cheke. Hormesis and hydra effects revealed by intraspecific overcompensation models and dose-response curves. Journal of the Royal Society Interface, 2025, 22(225): 20250169.