Dr. Jean-Eudes Dazard's research is centered on Computational/Statistical Biology and Bioinformatics with emphasis on developing data mining methods for high dimensional data, as generated by metabolomics, proteomics and sequencing high-throughput technologies. His recent focuses include: Bump Hunting in Classification, Regression and Survival settings for High-Dimensional Data, Regularization and Variance Stabilization of High-Dimensional Data, Model Selection as applied to Differential Expression, Bump Hunting and interaction problems, and Causal Regulatory Network Analysis. His interest is also in Statistical Computing and Software Development: He has authored several R packages available in CRAN and GitHub.
Awards and Honors
Presentations
Invited Seminar by Pr. Yudi Pawitan, PhD on “Survival Bump Hunting For Identification and Characterization of Informative Prognostic Subgroups”. Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden, 02/09/2017
Invited Seminar by Pr. J. Sunil Rao, PhD on “Variable Selection Strategies for High-Dimensional Survival Bump Hunting using Recursive Peeling Methods”. International Workshop on Applied Probability (IWAP 2016), Toronto, Canada, 06/20/2016
Invited Visit by Pr. M. Lebbah, PhD in the Computer Science Laboratory of Paris Nord (LIPN) on “Taking advantage of the GitHub Platform for Bump Hunting in Big Data with R Package 'PRIMsrc’”. Galileo Institute, University Paris XIII, Villetaneuse, France, 03/17/2016
Invited Seminar by the Cleveland R User Group (RUG) on “Survival Bump Hunting in R: An Introduction to the R Package 'PRIMsrc'”. Department of Epidemiology and Biostatistics, Case Western Reserve University, 03/02/2016
Invited Seminar by Pr. J. Sunil Rao, PhD on “Survival Bump Hunting For Identification and Characterization of Informative Prognostic Subgroups”. Division of Biostatistics, Department of Public Health Sciences, the University of Miami, 12/10/2013