Yazhen Wang

Yazhen Wang is a Professor in the Department of Statistics at the University of California, Berkeley. He completed his Ph.D. in Statistics in 1992 under the advisement of Peter Bickel, focusing on nonparametric estimation subject to shape restrictions. His research aligns with key areas in modern statistics, including high-dimensional data analysis and probability theory.

• Education: Ph.D. in Statistics (1992), advised by Peter Bickel

His work intersects with major research themes in the Berkeley Statistics department, such as non-parametric inference and causal modeling. While specific publications or awards aren't listed in the provided text, his academic standing reflects significant contributions to statistical methodology and theory.