معرفی
Maggie Niu is an Associate Professor of Statistics and Director of the Statistical Consulting Center at the Pennsylvania State University. She leads interdisciplinary research in statistical methodology with applications in health and social sciences. Her work emphasizes Bayesian methods, latent variable models, and network models. She actively collaborates with researchers across disciplines through the Statistical Consulting Center, mentoring graduate students in applied projects.
Education: Ph.D. in Statistics from the University of Washington (advisor: Peter Hoff), M.S. in Applied Mathematics from University of Minnesota, B.S. in Applied Mathematics from Peking University.
Research focuses on developing statistical models for complex data structures, including network dynamics, latent variables, and multivariate analysis. Applications span public health (e.g., HIV epidemiology), social sciences (e.g., voting behavior modeling), and environmental science. Her recent work includes estimating hidden population sizes (e.g., female sex workers in sub-Saharan Africa) and analyzing disease outbreak detection via exported cases.
Service contributions include leadership roles in the ASA Section on Statistical Consulting, editorial work for journals like JASA and AOAS, and founding the Chinese Statistical Consulting and Collaboration League. She is actively involved in advancing statistical methodology through workshops like the Workshop on Statistical Network Analysis and Beyond (SNAB).
Labs/Teams: Director of Penn State's Statistical Consulting Center, leading a team of researchers and students in collaborative applied projects. Previously directed the Statistical Consulting Center at Tsinghua University (2018-2019).
