Qingkai Dong

Qingkai Dong 董庆凯

Hello world!

I’m Qingkai(pronounced as Tsing-kai) Dong. This is my personal academic website. Currently I’m a phd student in Statistics in UConn. My research interests include massive data subsampling, frequentist model averaging and survival data analysis. I’m interested in programming, too.

• Email: qingkai.dong@uconn.edu
• GitHub: dqksnow
• Google Scholar: Qingkai Dong

Education

University of Connecticut

• Ph.D. in Statistics
• Advisor: Prof. HaiYing Wang and Prof. Jun Yan
• Location: Storrs, CT, USA
• Duration: Sep 2023 - present

Zhongnan University of Economics and Law

• Master of Science in Mathematical Statistics
• Selected Coursework: Advanced Probability Theory, Advanced Mathematical Statistics, Survival Analysis, Non-parametric Statistics, High-dimensional Statistics
• Thesis: “Variable Selection and Model Averaging Methods of Accelerated Failure Time Models”
• Advisor: Prof. Hui Zhao
• Location: Wuhan, China
• Duration: Sep 2020 - Jun 2023

Qingdao University

• Bachelor of Science in Applied Statistics
• Selected Coursework: Real Analysis, Advanced Algebra, Probability Theory, Mathematical Statistics, Numerical Optimization, Regression Analysis, Matlab, C++
• Thesis: “Automatic Marking System based on Convolutional Neural Networks”
• Advisor: Dr. Yang Yu
• Location: Qingdao, China
• Duration: Sep 2016 - Jun 2020

Publications

[1] Dong Q., Liu B., Zhao H. (2023). Weighted Least Squares Model Averaging for Accelerated Failure Time Models. Computational Statistics and Data Analysis, 184: 107743. PDF

[2] zha Zhao H., Liu B., Dong Q., Zhang X. (2023). The Jackknife Model Averaging of Accelerated Failure Time Model with Current Status Data. Acta Mathematicae Applicatae Sinica, 46(3): 313-328. (in Chinese) PDF

[3] Zhao H., Dong Q. (2022). A Variable Selection Method for the Additive Hazards Model with Current Status Data. Journal of Systems Science and Mathematical Sciences, 42(5): 1314-1329. (in Chinese) PDF

Experience

Research Assistant, University of Connecticut

• Duration: Mar 2024 - present
• Description: Clinical trail design project.

Research Assistant, University of Connecticut

• Duration: Sep 2023 - present
• Description: Summarized literature on Subsampling methods in statistical models. Assisted Prof. HaiYing Wang in code implementation and developing R packages.

Teaching Assistant, Zhongnan University of Economics and Law

• Course Title: Probability Theory
• Duration: Sep 2020 - Jan 2021
• Description: Assisted in course for 60+ students, graded homework and exams.

Awards

• First-class Scholarship, Zhongnan University of Economics and Law, Sep 2022 & Sep 2020
• Second-class Scholarship, Qingdao University, Sep 2019
• First Prize, CUMCM (Contemporary Undergraduate Mathematical Contest in Modeling), Oct 2018
• First Prize, CSEE Cup (Electrical Math Modeling Competition), May 2018

Skills

• Programming Languages: R, Python, Matlab, C++, Latex
• Languages: English (fluent), Chinese (native)