Shenyang Guo, PhD, is a Professor at the University of North Carolina (UNC) at Chapel Hill. He has done postdoctoral work at Brown University and held research associate or faculty appointments at the University of Michigan, Case Western Reserve University, the University of Tennessee, and the University of North Carolina. He is the author of numerous research reports in child welfare, child mental health services, welfare, and health care. He has expertise in applying advanced statistical models to solving social welfare problems and has taught graduate courses that address survival analysis, hierarchical linear modeling, growth curve modeling, and program evaluation. He has given many invited workshops on statistical methods—including event history analysis and propensity score matching—to NIH Summer Institute, Children's Bureau, and the Society of Social Work and Research conferences. He is the director of Applied Statistical Working Group at UNC. He led the data analysis planning for the National Survey of Child and Adolescent Well-Being (NSCAW) longitudinal analysis and has developed analytic strategies that address issues of weighting, clustering, growth modeling, and propensity score analysis. He is also directing the analysis of data from the Making Choices Project, a National Institute on Drug Abuse and Institute of Education Sciences funded prevention trial. He has published many articles that include methodological works on the analysis of longitudinal data, multivariate failure time data, program evaluation, and multilevel modeling. He is on the editorial board of Social Service Review and a frequent guest reviewer for journals seeking a critique of advanced methodological analyses. He has an MA in economics from Fudan University and a Ph.D. in Sociology from the University of Michigan.