Chad Schafer

Chad Schafer serves as an Assistant Professor in the Department of Statistics at Carnegie Mellon University. He completed his Ph.D. in Statistics at the University of California, Berkeley in 2004 under dissertation advisor Philip Stark, establishing his academic foundation in statistical theory and methodology.

His research spans core statistical disciplines including Probability theory and Data Analysis, with emphasis on developing robust analytical frameworks for complex datasets. This work bridges theoretical rigor with practical applications across scientific domains requiring advanced statistical inference.