Yichen Zhang is an assistant professor of Quantitative Methods at Daniels School of Business, Purdue University. Prior to joining Purdue, Yichen earned his Ph.D. from the Department of Technology, Operations, and Statistics at Stern School of Business at New York University in 2020. Before that, he received his Bachelors in Mathematics and Economics from Peking University in 2015.

Yichen has worked at the intersection of statistics, optimization, and machine learning. His research focuses on statistical inference for online streaming data, distributed estimation and inference, time series analysis, nonsmooth optimization, supply chains and other business problems with statistical models.

Yichen's teaching interest broadly covers Statistical Machine Learning and Statistical Inference.