معرفی
Ruiyang Wu is an Assistant Professor at the Paul H. Chook Department of Information Systems and Statistics within the Zicklin School of Business at Baruch College, City University of New York. He holds a PhD in Mathematics (2022), an MS in Statistics and Data Science (2020), and a BS in Mathematics and Applied Mathematics (2016) from the University of Arizona and Peking University, respectively.
Education:
- PhD, Mathematics, University of Arizona, 2022
- MS, Statistics and Data Science, University of Arizona, 2020
- BS, Mathematics and Applied Mathematics, Peking University, 2016
His research focuses on high-dimensional statistics, statistical learning, and quantitative modeling. He develops methodologies for dimensionality reduction, classification, and distributed algorithms in sparse additive models, with applications in business analytics.
Recent publications address dynamic supervised principal component analysis, distributed algorithms for high-dimensional sparse models, and quadratic discriminant analysis techniques. These works span journals like the Journal of Computational and Graphical Statistics and Journal of the American Statistical Association.
Scientific Awards:
- Galileo Circle Scholarship (2021)
- Data Science Academy Fellowship (2020)
- Galileo Circle Scholarship (2019)
He actively contributes to academic service as a reviewer for journals such as the Journal of Computational and Graphical Statistics and Computational Statistics & Data Analysis, and has served as a session chair at international conferences.
