Dengdeng Yu
About
Obtained BSc in Information and Computing Science from Southeast University (2007), followed by an MSc in Finance from the University of Ulm (2011). He completed an MSc and PhD in Statistics at the University of Alberta (2017) under the supervision of Dr. Linglong Kong and Dr. Ivan Mizera. He held postdoctoral appointments at the University of Toronto and the Canadian Statistical Sciences Institute (CANSSI) (2018–2020) and at the University of Alberta (2020) before joining UT Arlington as an assistant professor of mathematics (2021–2023). Currently, he is an assistant professor in the Department of Statistics and Data Science at the College of AI, Cyber and Computing, UT San Antonio. His research interests include High Dimensional Data Analysis, Functional Data Analysis, Statistical Machine Learning, Causal Inference, Quantile Regression, Neuroimaging Data Analysis, and Imaging Genetics.
Research Performance Summary
First Recorded Paper
Comparison of three methods of generating robust statistical designs
Year: 2013
Citations: 0
Venue: University of Alberta (Canada)
Latest Recorded Paper
Nuclear Norm Regularization
Year: 2025
Citations: 2
Venue: Wiley Interdisciplinary Reviews: Computational Statistics 17 (1), e70013
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.