Jou-Chin Wu Assistant Professor

Education 

• Ph.D., in Statistics, National Chengchi University (2021 – 2026)
• M.S., in Statistics, National Chengchi University (2018 – 2020)
• B.S., in Statistics, National Chengchi University (2014 – 2018)

Research Interests 

•  High-dimensional data analysis
•  Measurement error
•  Statistical learning
• Variable selection

Honors and Fellowships 

• 2026 Ching-Zong Wei Statistical Papers Award
• National Science and Technology Council (NSTC), Graduate Students Study Abroad Program (Doctoral Overseas Research Grant), Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Canada, Jun. 2025 – Jan. 2026. (NT$75,000 per month, 7 months) Project: “Transfer learning methods for censored data with error-prone covariates.”
• Ministry of Science and Technology (MOST), Doctoral Fellowship for Outstanding Students (Selection Track), National Chengchi University, Sep. 2021 – Aug. 2025. (NT$40,000 per month, 4 years)

Teaching Experience

•  Teaching Assistant, National Chengchi University Sep. 2021 – Present
  – M.S. Courses: Applied Regression Analysis, Time Series Analysis, Multivariate Analysis, Experimental Design
  – B.S. Courses: Linear Algebra, Theory of Probability, Mathematical Statistics, Regression Analysis, Statistical Computing and Simulation
•  Teaching Assistant, National Chengchi University Feb. 2018 – Jun. 2020
  – B.S. Courses: Regression Analysis, Analysis of Variance, Time Series Analysis

Journal Articles

• Chen, Li-Pang, Wu, Jou-Chin, and Yi, Grace Y. (2025). Semiparametric estimation for errorprone partially linear single-index models. Journal of Computational and Graphical Statistics, accepted, in press.
•  Wu, Jou-Chin and Chen, Li-Pang. (2025). Transfer learning for error-contaminated Poisson regression models. Statistics in Medicine, 44 (15-17), e70163.

Book Chapter

•  Chen, Li-Pang, Wu, Jou-Chin, and Tsao, Hui-Shan. (2025). Ultrahigh-dimensional discriminant analysis and its application to gene expression data. Big Data Analysis, Biostatistics and Bioinformatics (ICSA Book Series). Springer, Cham. (in press)

Other Publications 

• Wu, Jou-Chin (2022). Application of default of installments in logistic regression. Journal of Data Analysis, 17(2), 1–30. (in Chinese)

Research Projects

• National Science and Technology Council Project: “Predictors assisted estimation of graphical models with complex structures,” Research Assistant, Aug. 2025 – Present Principal Investigator: Dr. Li-Pang Chen

• National Science and Technology Council Project: “Improvement of correction methods in error-prone data,” Research Assistant, Jan. 2024 – Jul. 2025 Principal Investigator: Dr. Li-Pang Chen
• National Science and Technology Council Project: “Variable selection and estimation for measurement error data,” Research Assistant, Sep. 2022 – Dec. 2023
  Principal Investigator: Dr. Li-Pang Chen

Full-Time Working Experience

Assistant Manager, Risk Management Department (Mortgage Section) Jul. 2020 – Aug. 2021 Taishin International Bank Taipei, Taiwan

•  Analyzed residential mortgage portfolio metrics (LTV, delinquency) to monitor asset quality and risk trends.
• Provided data-driven insights on segment-specific risks to support senior management strategies.

Professional Skills

•  Languages: Chinese (native)

• Software: R, SAS, SQL, LaTeX