University of Southern California

Wenguang Sun
Assistant Professor of Data Sciences and Operations

USC Marshall School of Business
Los Angeles, CA 90089-0808

PhD, University of Pennsylvania; BS, Peking University


Wenguang Sun is a statistician whose research interests include large-scale multiple testing, high-dimensional inference, statistical decision theory, and causal inference. His research has been published in leading statistical journals including Journal of the American Statistical Association and Journal of the Royal Statistical Society, Series B. Professor has won several research awards including the ENAR Distinguished Student Paper Award and Saul Winegrad Dissertation Award from University of Pennsylvania. He received a grant from the National Science Foundation on large-scale multiple testing. Prior to joining USC, he was a faculty member at the Department of Statistics at North Carolina State University.


False Discovery Control in Large-Scale Spatial Multiple Testing 2013
Large-­‐scale Inference on Decision Trees, with Applications to Hierarchical Pattern Identification 2013
The optimal power puzzle: scrutiny of the monotone likelihood ratio assumption in multiple testing 2013
Multiple testing of composite null hypotheses in heteroscedastic models 2012
Discussion of Clustering Random Curves Under Spatial Interdependence with Application to Service Accessibility 2012
Multiple Testing for Pattern Identification, With Applications to Microarray Time-Course Experiments 2011