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Jiahua Chen is a Professor in the Department of Statistics at the University of British Columbia (UBC). His research interests lie in the fields of statistical learning, Bayesian analysis, and computational statistics. He has published extensively in top-tier journals and has contributed to the development of methodologies that enhance the understanding of complex statistical models. His work often focuses on the application of statistical methods to real-world problems, leveraging both theoretical and empirical insights. Professor Chen is actively involved in teaching, mentoring students, and collaborating with researchers across various disciplines. He is recognized for his contributions to the field of statistics and continues to explore innovative approaches to data analysis.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.