David Bickel

University of Ottawa
Ottawa Institute of Systems Biology
Department of Biochemistry, Microbiology, and Immunology
Department of Mathematics and Statistics


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Research interests in statistical genomics and in the foundations of statistics:

David R. Bickel has been an associate professor at the Ottawa Institute of Systems Biology since 2007. His research interests include statistical genomics and the foundations of statistics. After applying his statistical methods to the analysis of gene expression data, he has developed methods in response to problems with analyzing genome-wide association data and to measurements for smaller numbers of biological features (e.g., gene ontology terms or molecular species), especially from the metabolomics and proteomics domains. His work on the foundations of statistics focuses on hybrid methodologies, especially those based on confidence distributions, empirical Bayes approaches, and information theory. [Y. Yang, F. A. Aghababazadeh, and D. R. Bickel, “Parametric estimation of the local false discovery rate for identifying genetic associations,” IEEE/ACM Transactions on Computational Biology and Bioinformatics 10, 98-108 (2013)]

Before joining the Ottawa Institute of Systems Biology in 2007, he conducted research as a biostatistician at the University of Texas, the Medical College of Georgia, and Pioneer Hi-Bred International.

Contributions by David Bickel and collaborators

Selected works since 2007:

Mathematical Reviews:

Other contributions: