Yichen Zhang

Yichen Zhang joined Purdue in 2020 after he earned his Ph.D. in Statistics and Operations Research at the Stern School of Business at New York University. Prior to that, he received his bachelor's degrees in Mathematics and Economics from Peking University in 2015. 

Yichen has worked at the intersection of statistics and optimization. His research focuses on Statistical Inference for Online Streaming Data, Bandits, and Reinforcement Learning; Distributed Learning, Multi-task Learning, Transfer Learning; Frequency-domain Time Series Analysis and Applications in Supply Chains; Nonsmooth Optimization with Statistical Models. His research has been published in the Annals of Statistics, Journal of the American Statistical Association, Machine Learning, Stochastic Processes and their Applications. Yichen serves as an Associate Editor for Journal of Computational and Graphical Statistics.