Yu-Teng Yan, a Ph.D. candidate in Demography at Renmin University of China under the mentorship of Professor Ting Li, focuses on Health Research, Family Research, and Social Research Methods. He is dedicated to leveraging big data and micro simulation models to enhance public comprehension of the human condition and promote social equity. His curriculum vitae is accessible for download in both English and Chinese versions.

EDUCATION

• 09/2021 - 06/2025, Ph.D. in Demography, Renmin University of China. Beijing, P.R. China
• 09/2018 - 06/2021, LL.M. in Sociology, Sun Yat-sen University. Guangzhou, P.R. China
• 09/2014 - 06/2018, LL.B. in Sociology, Harbin Institute of Technology. Harbin, P.R. China

TRAINING AND WORKSHOP

• 2023, Registered Student, Workshop: “Multidimensional and Multiscale Demographic Modeling for Environmental and Climate Change Scenario Development.” ADRI & IIASA. Shanghai, P.R. China. 25-30 Oct.
• 2018, Registered Student, Workshop: “Big Data, Cloud Computing and New Methodology of Humanities and Social Sciences.” Nanjing University. Nanjing, P.R. China. 18-22 Jan.
• 2016, Registered Student, Exchange Program: College of Social Sciences, National Sun Yat-sen University. Kaohsiung, R.O.C. Taiwan, China. Feb. to June.

HONORS AND AWARDS

• 2025, Outstanding Graduate of Beijing (Top 5%), Beijing Municipal Education Commission, P.R. China
• 2023 & 2024, Merit Student (Top 25%, Twice), Renmin University of China, P.R. China
• 2023, Second-Class Excellence Scholarship for Ph.D. (Top 20%), Renmin University of China, P.R. China
• 2021 & 2023, First-Class Scholarship (Top 30%, Twice), Renmin University of China, P.R. China
• 2020, First-Class Scholarship (Top 30%), Sun Yat-sen University, P.R. China
• 2016 & 2017, Merit Student (Top 10%, Twice), Harbin Institute of Technology, P.R. China

PROGRAMMING SKILLS

• Programming Languages: R, Python, SQLite
• Econometrics: Stata, SAS, SPSS
• Simulation: NetLogo (ABM), Vensim (SD)
• Qualitative Methods: Nvivo
• Others: Git, Markdown, HTML & CSS, Hexo (Based on Node.js)

CONTACT

• Address: No.59, Zhongguancun Avenue, Beijing, P.R. China
• Email: yanyuteng[at]ruc.edu.cn