Biography and expertise
I am an Assistant Professor in Statistics at Texas State University. My research develops scalable statistical methods for high-dimensional and dependent data across disciplines. I am an experienced collaborator employing statistical methodological ideas into practical tools with academic and industry partners.
Ph.D. in Statistics, University of South Carolina, 2026
M.Sc in Finanical Modelling, Western University, 2020
Master in Financial Insurance, University of Toronto, 2019
Bachelor in Math and Applied Math, Shanghai Jiaotong University, 2018
Ph.D. in Statistics, University of South Carolina, 2026
M.Sc in Finanical Modelling, Western University, 2020
Master in Financial Insurance, University of Toronto, 2019
Bachelor in Math and Applied Math, Shanghai Jiaotong University, 2018
Education
Doctorate Degree
PhD in Statistics
Univ of South Carolina Columbia, 2026
Research Interests
Featured scholarly/creative works
- Mohammadi, E., Thelwall, M., Cai, Y., Collier, T., & Eftekhar, A. (2026). Is Generative AI Reshaping Academic Practices Worldwide? A Survey of Adoption, Benefits, and Concerns. Information Processing and Management.
- Liu, J., Ma, T. F., Gao, R., & Cai, Y. (2025). Investigating teacher rating effect using the Pediatric Symptoms Checklist - 17 for elementary school children.
- Mohammadi, E., Cai, Y., Novin, A., Vera, V., & Mohammadi, E. S. (2025). Who is a Scientist? Gender and Racial Biases in Google Vision AI. AI and Ethics.
- Ma, T. F., Cai, Y., Shi, P., & Zhu, J. (2024). Hierarchical Dependence Modeling for the Analysis of Large Insurance Claims Data. The Annals of Applied Statistics, 18(2), 1402–1420.
- Cai, Y. (n.d.). A Data Analysis and Evaluation Method, System, Electronic Storage Equipment.
Featured service activities
- Reviewer / Referee
Sustainable Social Development
- Other
GISense Lab, University of Texas at Austin
- Member
Human Insight for Data and AI (Hi-Da) Lab, University of South Carolina
- Reviewer / Referee
Studies in Higher Education
- Reviewer / Referee
Quality & Quantity
- Reviewer / Referee
Scientific Reports