معرفی
Shanshan Ding is an Associate Professor in the Department of Applied Economics and Statistics at the University of Delaware, College of Agriculture & Natural Resources. Her research focuses on advanced statistical methodologies including dimension reduction, envelope models, and multivariate analysis for high-dimensional data.
- Education:
- Ph.D., Statistics, University of Minnesota, Minneapolis (2014)
- M.S., Applied and Computational Mathematics, University of Minnesota, Duluth (2008)
- M.S., Finance, Peking University (2004)
- B.S., Applied Mathematics, Nankai University (2002)
Her work spans applications in econometrics, health, and environmental science, with a particular emphasis on developing and applying innovative statistical models to complex datasets.
Key publication trends include envelope models (2018), matrix variate regression (2018), tensor sliced inverse regression (2015), and dimension folding techniques (2014). Her research frequently addresses challenges in high-dimensional data analysis and multivariate statistical methods.
She currently teaches STAT 617-010 – Multivariate Methods and has mentored students including Wang, L. and Jain, Y. on cutting-edge statistical projects.
