Yu Shyr, Ph.D.

Harold L. Moses Chair in Cancer Research
School of Medicine
Center for Quantitative Sciences
Vanderbilt Technologies for Advanced Genomics Analysis and Research Design (VANGARD)
Department of Biostatistics, Department of Cancer Biology, Department of Biomedical Informatics, Department of Health Policy
Office Address
Department of Biostatistics
2525 West End Ave.
Room / Suite
(615) 936-6760

Yu Shyr received his PhD in biostatistics from the University of Michigan in 1994 and subsequently joined the faculty at Vanderbilt University School of Medicine, where he won the Hawiger Award for Excellence in Teaching in 2012 and was inducted into the Academy for Excellence in Education in 2013. Renowned for his development of integrative methods and high-impact applications of those methods, Shyr is an elected fellow of the American Statistical Association (ASA), the American Association for the Advancement of Science (AAAS), and the American Association for Cancer Research (AACR), and he holds an honorary doctorate from National Cheng Kung University. He has published more than 500 peer-reviewed papers (h-index = 116) and serves as an associate editor for JAMA Oncology and Journal of Thoracic Oncology. Shyr has presented more than 250 invited talks, workshops, and courses around the world and currently co-directs the BMSF-AACR Design and Implementation of Clinical Trials Workshop, part of the Robert A. Winn Diversity in Clinical Trials Award Program established by the Bristol Myers Squibb Foundation.


In demand as an expert on external advisory boards and data safety monitoring committees across the United States, Shyr was a voting member of the US Food and Drug Administration (FDA) Anti-Infective Drugs Advisory Committee and has served on dozens of National Cancer Institute (NCI) study sections and panels. As principal investigator of the Barrett’s Esophagus Translational Research Network Coordinating Center (BETRNetCC), funded by an NCI U24 grant, Shyr led a team that provided crucial support for the collection, management, analysis, and dissemination of data among multiple research centers. His current projects include developing novel statistical and bioinformatic tools for biomedical research and improving experiment and clinical trial design, particularly in the areas of proteomics and genomics, with special focus on RNA sequencing.