Education

2017.09-2021.06，Ph.D. in Biostatistics, Yale University

2013.09-2015.05，M.S. in Biostatistics, Yale University

2008.09-2012.05，.B.A. in Actuarial Science and Mathematics, University of Wisconsin - Madison

 

Work Experience

2022.09 - present，Assistant Professor, Renmin University of China

2021.09 - 2022.07，Data Scientist, Tencent HealthCare

2015.08 - 2017.08，Biostatistician, Yale Center for Outcomes Research and Evaluation

 

Research Interests

Health outcome research; Adaptive trial design; AI-assisted Biostatistics

Network data analysis; Electronic health records data analysis; Complex biomedical data modeling

 

Funding

1. Dynamic Multi-Layer Clinical Disease Network: Methodology and Application, Young Scientists Fund of National Natural Science Foundation of China (72301283), Principal Investigator, Jan 2024-Dec 2026.

2. AI-Driven Key Technologies for Rehabilitation Management of Major Chronic Diseases: Research and Application, 2023 Population Health Special Project, Chongqing Science and Technology Bureau (CSTB2023TIAD-KPX0047), Principal Investigator of Subproject, Jan 2024–Sep 2026.

3. Study on Intercorrelations of Clinical Outcomes with Health Care Big Data and Network Analysis Methods, the New Faculty Startup Fund Project, Renmin University of China (23XNKJ07), Principal Investigator, Jan 2023-Dec 2025.

4. Research on Statistical Measurement and Analysis Methods in Digital Health, MOE Project of Key Research Institute of Humanities and Social Sciences at Universities, (22JJD910001), Participant, Jan 2022–Dec 2025.

 

Educational Reform Project

1. Research on the Differences and Reform Exploration of Graduate Teaching Assistant Systems in Statistics between China and Other Countries, Renmin University of China, Graduate Education and Teaching Reform Project (2024B001), Principal Investigator, Jul 2024–Jul 2025.

 

Publications

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.

 

Teaching

1. Undergraduate: Statistics, Econometrics (English)

2. Graduate: Categorical Data Analysis, Clinical Trial Design and Analysis

 

Professional Service 

1. 2024 - present  Council Member, Dability Statistics Branch of National Staitstical Society of China

2. 2022 - present  Elected Member, Beijing Biometrics Association

 

Invited Talks

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 Academic Conference of Biostatistics (China), Jul 2025, Chongqing, China, Invited Speaker.

4. Response Adaptive Design Leveraging Real-World Data with Interval-Censored Survival Outcomes, The 3rd Joint Conference on Statistics and Data Science in China, Jul 2025, Hangzhou, China, Contributed Speaker.

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, Jul 2024, Salzburg, Austria, Invited Speaker.

7. Network and Covariate-Adjusted Response-Adaptive Design, ICSA 2024 China Conference, Jun 2024, Wuhan, China, Invited Speaker.

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, Apr 2024, Xuzhou, China, Invited Speaker.

9. Network and Covariate-Adjusted Response-Adaptive Design, The 9th International Forum on Statistics (RUC IFS 2023), Jul 2023, Beijing, China, Invited Speaker.

10. Human Disease Clinical Treatment Network for the Elderly: Analysis of the Medicare Inpatient Length of Stay and Readmission Data, ICSA 2024 China Conferenc, Jun 2023, Chengdu, China, Invited Speaker.

11. Statistical Considerations for Missing Data in Patient-Reported Outcomes, 2023 Drug Information Association（DIA）China Conference, Jun 2023, Suzhou, China, Invited Speaker.