教育背景

2017.09-2021.06，美国耶鲁老员工物统计专业，哲学博士学位

2013.09-2015.05，美国耶鲁老员工物统计专业，理学硕士学位

2008.09-2012.05，美国威斯康辛大学麦迪逊分校精算专业，工商管理学学士学位

 

工作经历

2022.09至今，太阳成集团tyc122cc，讲师

2021.09-2022.07，腾讯医疗健康事业部，数据科学岗

2015.08-2017.08，美国耶鲁纽黑文医院临床实效研究中心，生物统计师

 

研究方向

临床实效分析、自适应临床试验设计、人工智能赋能的生物统计研究

网络数据分析、电子健康记录数据分析、复杂生物医学数据建模

 

科研项目

1. 动态多层临床型疾病网络模型及其应用研究，国家自然科学基金青年项目，72301283，主持，2024.01-2026.12

2. AI+重大慢病康复管理关键技术研发与应用，重庆市科学技术局2023年人口健康专项项目，CSTB2023TIAD-KPX0047，主持子课题，2024.01-2026.09

3. 基于健康医疗大数据和网络分析方法的疾病临床结局相关性研究，太阳成集团122cc官网入口新教师启动金项目，23XNKJ07，主持，2023.01-2025.12

4. 数字健康的统计测度与分析方法研究，教育部人文社会科学重点研究基地重大项目，22JJD910001，参与，2022.01-2025.12

 

教改项目

1. 统计学研究生课堂助教体系中外差异研究及改革探索，太阳成集团122cc官网入口，研究生公司产品改革项目，2024B001，主持，2024.07-2025.07

 

科研发表

1. Mei, H., Xiao, H., Shia, B. C., Qiao, G., & Li, Y. Interconnections of Multimorbidity-Related Clinical Outcomes: Analysis of Health Administrative Claims Data with a Dynamic Network Approach. Statistics in Medicine, 2025.

2. Mei, H., Wang, Z., Yang, H., Li, X., & Xu, Y. Network analysis of multivariate time series data in biological systems: methods and applications. Briefings in Bioinformatics, 2025.

3. Mei, H., Xie, J., Qin, Y., & Li, Y. Network and covariate adjusted response-adaptive design for binary response. Statistics in Medicine, 2023.

4. Mei, H., Jia, R., Qiao, G., Lin, Z., & Ma, S. Human Disease Clinical Treatment Network for the Elderly: the Analysis of Medicare Inpatient Length of Stay and Readmission Data. Biometrics, 2023.

5. Mei, H., Wang, J., & Ma, S. Testing the Efficacy and Safety of Rivaroxaban and Dabigatran for Atrial Fibrillation via an Emulation Analysis of Medicare Data. Journal of Clinical Epidemiology, 2021.

6. Mei, H., Jia, R., Qiao, G., Lin, Z., & Ma, S. Human Disease Clinical Treatment Network for the Elderly: the Analysis of Medicare Inpatient Length of Stay Data. Statistics in Medicine, 2021.

7. Mei, H., Xu, Y., Wang, J., & Ma, S. Evaluation of Survival Outcomes of Endovascular versus Open Aortic Repair for Abdominal Aortic Aneurysms with a Big Data Approach. Entropy, 2020.

8. Janke, A. T., Mei, H., Rothenberg, C., Becher, R. D., Lin, Z., & Venkatesh, A. K. Analysis of Hospital Resource Availability and Covid-19 Mortality Across the United States. Journal of Hospital Medicine, 2020.

9. Venkatesh, A. K., Mei,H., Liu, S., D’Onofrio, G., Rothenberg, C., Lin, Z., & Krumholz, H. M. Cross‐Sectional Analysis of Emergency Department and Acute Care Utilization among Medicare Beneficiaries. Academic Emergency Medicine, 2020.

10. Venkatesh, A. K., Gettel, C. J., Mei, H., Chou, S., Rothenberg, C., Liu, S., D’Onofrio, G., Lin, Z., & Krumholz, H. M. Where Skilled Nursing Facility Residents Get Acute Care: Is the Emergency Department the Medical Home? Journal of Applied Gerontology, 2020.

11. Li, S., Wang, Y., Lama, S. D., Schwartz, J., Herrin, J., Mei, H., Lin, Z., Bernheim, S. M., Spivack, S.,Krumholz, H. M., Suter, L. Timely Estimation of National Admission, Readmission, and Observation-Stay Rates in Medicare Patients with Acute Myocardial Infarction, Heart Failure, or Pneumonia Using Near Real-Time Claims Data. BMC Health Services Research, 2020.

12. Kelleya, L., Cappb, R., Carmona, J. F., D’Onofrioc, G., Mei, H., Cobbs-Lomaxa, D., & Ellise, P. Patient Navigation to Reduce Emergency Department (ED) Utilization among Medicaid Insured, Frequent ED Users: A Randomized Controlled Trial. The Journal of Emergency Medicine, 2019.

13. Venkatesh, A. K., Mei, H., Kocher, K. E., Granovsky, M., Obermeyer, Z., Spatz, E. S., Rothenberg, C., Krumholz, H. M., & Lin, Z. Identification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications. Academic Emergency Medicine, 2017.

14. Li, L., Hu, J., Zhang, Q., Yang, Xu., Lan, X., Zhang, D., Mei, H., Chen, B., & Huang, Y. P38/MAPK Contributes to Endothelial Barrier Dysfunction via MAP4 Phosphorylation-Dependent Microtubule Disassembly in Inflammation-Induced Acute Lung Injury. Scientific Reports, 2015.

15. Zhou, L., Hua, X., Deng, W., Wu, Q., Mei, H., & Chen, B. PCDH10 Interacts with hTERT and Negatively Regulates Telomerase Activity. Medicine, 2015.

16. 曹毓文,梅好*,孙佳仪,胡炯宇 & 徐雅晴. 基于健康保险数据的医疗费用共病网络分析及深度学习预测.重庆医学, 2024.

 

教学课程

1. 本科课程：统计学、计量经济学（英）

2. 研究生课程：属性数据分析、临床试验设计与分析

 

社会兼职

1. 2024至今，中国统计学会残障统计分会，理事

2. 2025至今，北京生物医学统计与数据管理研究会，推举会员

 

学术报告

1. A Latent Space Modeling for Human Disease Network with Temporal Variations: Analysis of Medicare Data, The 14th Workshop on High Dimensional Data Analysis, Aug 2025, Beaver Island, Michigan, USA, Invited Speaker.

2. A Minimax Approach for Optimal Incentive Policy Learning, 2025 Joint Statistical Meetings, Aug 2025 Nashville, Tennessee, USA, Contributed Speaker

3. Real-World Data-Assisted Response-Adaptive Design，2025年生物统计学术会议，2025年7月，重庆，邀请报告人。

4. Response Adaptive Design Leveraging Real-World Data with Interval-Censored Survival Outcomes，第三届全国统计与数据科学联合会议，2025年7月，杭州，投稿报告人。

5. A Variance Reduction Approach for the Inverse Probability-of-Treatment Weighted Estimator of Average Treatment Effects in Observational Studies, The 13th Workshop on High Dimensional Data Analysis, Aug 2024, Singapore, Invited Speaker

6. Clinical Human Disease Networks with Health Administrative Claims Data, The Fifth International Workshop on Statistical Analysis of Multi-Outcome Data, 2024.07, Salzburg, Austria, Invited Speaker

7. Network and Covariate-Adjusted Response-Adaptive Design, 2024年国际泛华统计协会（ICSA）中国会议，2024年6月，成都，邀请报告人。

8. Interconnections of Multimorbidity-Related Clinical Outcomes: Analysis of Health Administrative Claims Data With a Dynamic Network Approach, 全国工业统计学教学研究会青年统计学家协会 2024 年年会暨第二届中国青年统计学家论坛, 2024年4月, 徐州, 邀请报告人。

9. Network and Covariate-Adjusted Response-Adaptive Design, 第九届国际统计论坛（RUC IFS 2023），2023年7月，北京，邀请报告人。

10. Human Disease Clinical Treatment Network for the Elderly: Analysis of the Medicare Inpatient Length of Stay and Readmission Data, 2023年国际泛华统计协会（ICSA）中国会议，2023年6月，成都，邀请报告人。

11. 患者报告结局中缺失数据的处理策略对临床结果的影响, 2023 年Drug Information Association（DIA）中国会议, 2023年6月, 苏州，邀请报告人。