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Yangjianchen Xu is an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. He specializes in developing novel statistical methods, particularly in the theory of survival analysis, to address challenges in biomedical and public health sciences. His research focuses on semiparametric models for univariate and multivariate time-to-event data, including right and interval censoring. He completed his PhD in Biostatistics at the University of North Carolina at Chapel Hill in 2024, after earning his Bachelor of Science in Statistics from Peking University in 2019. His work aims to contribute to improving statistical methodologies that can help in the interpretation and analysis of complex health data, thereby aiding in public health decision-making.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.