Zehan Yang Department of Statistics University of Connecticut Room 301 Philip E. Austin Building 215 Glenbrook Rd. U-4120 Storrs, CT 06269-4120 Phone: (860) 634-0053 Email: zehan.yang@uconn.edu

About me

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

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 research assistant in Department of Public Health Sciences in the University of Connecticut, Health Center from Septemper, 2021 to December, 2023. I have finished multiple 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, Published Online.

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)

Project in Progress

• Impact of Continuous Positive Airway Pressure (CPAP) Therapy on A1C Levels in Patients with Prediabetes.
• Relationship between Religious Affiliation and Burnout Among National Health Service (NHS) Staff in Britain: Findings from Staff Surveys.

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.
• Basic librarys for Python: NumPy and Pandas.
• I love learning programming languages and emerging technologies.