Wenbo Wu is a doctoral candidate in Biostatistics and Scientific Computing at the University of Michigan. His research interests center around the synthesis of statistics, machine learning, and computational science to address critical and far-reaching issues in health policy and services research, utilizing national disease registries, administrative databases, electronic health records (EHRs), and large-scale observational studies. Before Michigan, he received his BA from Tianjin University, MA from the Central University of Finance and Economics, and MS from the University of Wisconsin-Madison.