Yuan Ji

Department of Public Health Sciences and the College

Yuan Ji’s focus is on innovative computational and statistical methods for translational cancer research. He is the inventor of many innovative Bayesian adaptive designs, such as the modified toxicity probability interval (mTPI and mTPI-2) designs, which have been widely applied in dose-finding clinical trials worldwide. His past research has also addressed Bayesian hierarchical models for complex and large genomics data, graphical models with application to cancer genomics, and Bayesian bioinformatics. His work on precision medicine was selected as one of the top 10 ideas of the Harvard Business School Precision Trials Challenge in 2015.

Ji, who is also a fellow at the Institute for Genomics and Systems Biology, is the author of over 100 publications in peer-reviewed journals, conference papers, book chapters, and abstracts. His research has been supported with funding from the National Institutes of Health.

He is the recipient of a BA in mathematics from Fudan University in Shanghai, an MS in biostatistics from the University of Minnesota Twin Cities, and a PhD in statistics from the University of Wisconsin–Madison. Previously, he was a faculty member in biostatistics and bioinformatics at the University of Texas MD Anderson Cancer Center. He has also served as the director of cancer informatics at the NorthShore University HealthSystem Center for Biomedical Research Informatics.

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