Zehan Yang Phone: (860) 634-0053 Email: zehan.yang@uconn.edu

About me

Hello! I am Zehan yang, a Ph.D. in Statistics graduated from Department of Statistics, University of Connecticut.

I currently serve as a statistical reviewer at the U.S. Food and Drug Administration, Center for Biologics Evaluation and Research, where I review submissions related to Chemistry, Manufacturing, and Controls (CMC) statistics, as well as clinical statistics for medical devices.

My research interests are Survival Analysis, Optimal Subsampling and Statistical Computing. I have been working on the optimal subsampling method for big survival data based on parametric and semi-parametric accelerated failure time model for three years.

Besides my own research, I was a graduate assistant at The Cato T. Laurencin Institute for Regenerative Engineering in the University of Connecticut Health Center from Septemper, 2021 to December, 2023. I have finished multiple statistical consulting projects for medical researchers and medical doctors.

Publication

• Yang, Z., H. Wang, and J. Yan (2022). Optimal Subsampling for Parametric Accelerated Failure Time Models with Massive Survival Data. Statistics in Medicine, 41(27), 5421–5431.
• Yang, Z., H. Wang, and J. Yan (2024). Subsampling Approach for Least Squares Fitting of Semi-parametric Accelerated Failure time Models to Massive Survival Data. Statistics and Computing, 34(2), 77.
• Yang, Z., H. Wang, and J. Yan (2024). Optimal Subsampling for Semi-parametric Accelerated Failure Time Models with Massive Survival Data Using a Rank-based Approach. Statistics in Medicine, 43(24), 4650–4666.
• Maheshwari, N., J. Lenka, Z. Yang, A. Salmon, and H. Wu (2024). 0572 Impact of CPAP Therapy on HbA1c in Patients with Obstructive Sleep Apnea and Pre-Diabetes: A Preliminary Analysis. Sleep, 47(Supplement_1), A244–A245.
• Habbani, S. F., Z. Yang, M. Mohammad, M. M. Hamid, R. Alfadil, D. E. Lawis, S. I. Mohammed, and H. Wu (2025). Prevalence and Predictors of Triple-Negative Breast Cancer Among Sudanese Women: A Retrospective Analysis of Newly Diagnosed Cases. International Journal of Women’s Health, 17, 4933–4947.

Presentations

• Optimal Subsampling for Parametric Accelerated Failure Time Models with Massive Survival Data. 2022 Joint Statistical Meetings , Washington D.C., August 6 - August 11, 2022.

• Subsampling Approach for Least Squares Fitting of Semi-parametric Accelerated Failure Time Models to Massive Survival Data. 2023 ICSA Applied Statistics Symposium, Ann Arbor, Michigan, June 11 – June 14, 2023.

Honors and Awards

• The 2022 LiDS Student Paper Award by the American Statistical Association.

• The Honorable Mention for the 2023 Student Paper Competition by International Chinese Statistical Association (ICSA)

Skills

• Proficient in R and in using the interface between R and C/C++.
• Clean and analyze medical data using SAS. I have passed the SAS Base Programming Exam in 2019.
• Familar with Parllel computing in R using High Performance Computing (HPC) Cluster.
• I love learning programming languages and emerging technologies.