Peng Zhao

I am an Assistant Professor in the Department of Applied Economics and Statistics at the University of Delaware and a resident faculty member of the Data Science Institute.

My research develops a theory of deattenuation and anti-shrinkage. I study when statistical procedures systematically attenuate recoverable signal, and when undoing—or even reversing—that attenuation improves prediction or estimation because the signal-recovery gain exceeds the accompanying variance cost.

Before joining Delaware, I was a postdoctoral researcher in Statistics at Texas A&M University, where I worked with Bani K. Mallick, Anirban Bhattacharya, and Debdeep Pati. I received my Ph.D. in Statistics from Florida State University, advised by Yiyuan She and Yun Yang.

My research is currently supported in part by Microsoft Research through the Graph Machine Learning project, where I serve as a co-PI.

For a complete record, please see my publications or download my CV.