Wei Qian

Wei Qian is an Associate Professor of Statistics at the Department of Applied Economics and Statistics, University of Delaware, affiliated with the College of Agriculture & Natural Resources. He is also an affiliated faculty member of the Data Science Institute at the University of Delaware.

Education:

• Ph.D. in Statistics, minor in Mathematics, University of Minnesota, Twin Cities, 2014
• M.S. in Chemistry, Stanford University, 2008
• B.S. in Chemistry, Peking University, Beijing, 2006

His research focuses on high-dimensional statistics, sequential decision making, model selection, dimension reduction, nonparametric and semiparametric estimation, statistical computing, actuarial statistics, and deep learning. His work addresses complex data analysis challenges across domains like insurance, epidemiology, and network modeling.

Recent publications emphasize machine learning applications in

• Hypergraph Neural Networks
• Multi-armed Bandit Problems
• Gender Equity in Hiring
• Covid-19 Epidemiological Modeling
• Interbank Network Risk Analysis
• High-dimensional Censored Data

Scientific Awards:

• JPMC Fellow, Institute for Financial Services Analytics, University of Delaware (2017 -- present)

Grants:

• NSF DMS funding support