Yuedong Wang

CRML Affiliated Faculty

Professor, Statistics and Applied Probability



My research interests lie in the development of statistical methodology and their applications. My current research areas include nonparametric and semiparametric statistical learning methods, computational methods, model selection, mixed-effects models, state space models, survival analysis, longitudinal data, functional data, and electronic health record.

Dr. Wang earned his bachelor's degree in Mathematics from the University of Science and Technology in China and a master's in Operations Research from the Institute of Applied Mathematics of the Chinese Academy of Science. He has a doctoral degree in Statistics from the University of Wisconsin-Madison. Before coming to UCSB in 1997, he worked in the Department of Biostatistics at the University of Michigan. He is an elected fellow of the ASA, IMS, and ISI, a fellow of RSS, and a member of IBS and ICSA.