Vanderbilt University School of Medicine, USA
Dr. Zhongming Zhao is an Ingram Associate Professor of Cancer Research and an associate professor of the Departments of Biomedical Informatics, Psychiatry, and Cancer Biology at Vanderbilt University Medical Center. His current administrative roles include Chief Bioinformatics Officer ofthe Vanderbilt-Ingram Cancer Center (VICC), Director of the VICC Bioinformatics Resource Center, Associate Director of the Vanderbilt Center for Quantitative Sciences, and Director of the Bioinformatics and Systems Medicine Laboratory (BSML).Dr. Zhao received his Ph.D. degree in human and molecular genetics from the University of Texas Health Science Center at Houston in 2000. He also received three M.S. degrees: genetics (1996), biomathematics (1998), and computer science (2002). Dr. Zhao has more than 14 years of bioinformatics and systems biology research experience and has published more than 150 papers in these areas. His work has been supported by >40 funded grants. Dr. Zhao has served as Editor-in-Chief, Associate Editor, editorial board member, or reviewer of numerous journalsand has been on the steering, program, and award committees in numerousbioinformatics and biomedical informatics related international conferences. Additionally, he has served in numerous grant review panels to review research grants forNIH, NSF, The Wellcome Trust, and the German Research Foundation (DFG), The Ontario Research Fund,among others. Dr. Zhaohas received several awards, including the Keck Foundation Post-doctoral Fellowship (twice: 2002, 2003), NARSAD Young Investigator Award (twice: 2005, 2008), the best paper award in the ICIC’08, Nick Norgan Award for the best paper published in Annals of Human Biology during 2009, and aVPSD Career Development Award in GI Cancer in 2009.
Bioinformatics, systems biology, and statistical modeling approaches to studying complex diseases (data management, integration, gene ranking, gene features and networks, mixed models, etc), integrative -omics, heterogeneous data analysis and integration, next generation sequencing data analysis, pharmacogenomics, translational bioinformatics, personalized medicine, methodology, biomedical informatics