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Yuan Ji is a Professor in the Department of Public Health Sciences at the University of Chicago. He specializes in biostatistics and bioinformatics, particularly focusing on developing statistical methods for clinical trials and the analysis of complex medical data. His notable work includes the Multi-Arm Two-Stage (MATS) design for optimizing dose in early-phase oncology trials, and he has published extensively on the implications of circulating molecules and plasma metabolites in predicting cerebral cavernous malformations. Professor Ji's contributions to statistical methodologies were recognized with his election as a Fellow of the American Statistical Association in 2020. He actively collaborates on projects linking statistical theory to practical challenges in modern biostatistics and has been awarded the prestigious Mitchell Prize in 2015 for his innovative research in Bayesian statistics.
University of Chicago • Chicago, IL
Professor in the Department of Public Health Sciences, specializing in biostatistics and bioinformatics.
Department of Philosophy