Jean-Eudes Dazard, Ph.D.

Faculty Appointments

Center for Proteomics and Bioinformatics:
Assistant Professor

Biostatistics and Bioinformatics Core Facility of the Comprehensive Cancer Center:

Academic History

1989BSc., Mathematics, College Janson de Sailly, Paris, France
1992MSc., Computer Science, Graduate School of Engineering (ESIM), Marseille, France
2000Ph.D., Mol. Biology & Bioinformatics, University I, Mol. Inst. Genetics (CNRS), Montpellier, France
2009MSc., Statistics, Case Western Reserve University, Cleveland, USA

Positions and Employment

2000-2003Post-doc, Bioinformatics, (FGS Fellow) Weizman Institute of Science, Israel
2003-2006Post-doc, Statistics, (NIH-CGEC Fellow) Case Western Reserve University, USA
2006 - 2009Co-founder and Biostatistics Consultant of the Bioinformatics Core of the School of Medicine.
2006 - PresentBiostatistics consultant in the Biostatistics and Bioinformatics Core Facility (BBCF) of the Comprehensive Cancer Center (CCC)
2009 - PresentAssistant Professor in Center for Proteomics and Bioinformatics (CPB) of the School of Medicine

Research Interests

Conventional statistical techniques and methods literally fall apart or are inappropriate at best when dealing with modern large datasets where the number of variables greatly exceeds the number of observations (so-called p >> n paradigm). It is a hard problem with several statistical issues causing potential risks of severe errors and model unfitting. Particular challenges posed by high dimensional data are the multiplicity of inferences and the control of error rates, the multi-collinearity of predictors due to the parallel nature of the variables, and finally the sparsity due to inherent noise from the employed technologies and the fewness of variables at play compared to the massive number of variables interrogated.

My research interest is in computational/statistical biology with emphasis on developing data mining methods in high dimensional settings. Data are mostly from high-throughput or "omics" data as generated by microarray, proteomics and high-throughput sequencing technologies. My recent focus has been in:

  1. Bump hunting problems in Classification, Regression, and Survival settings. General applications are in developing risk and reliability analysis tools, as well as clinical applications in diagnostic and prognostic tools for personalized medicine.
  2. Bayesian Model Selection and Predictive Modeling as applied to Differential Expression and Genetic Interaction problems. Recent applications were made in genetic association studies, biomarker discovery, and proteomics interaction problems.
  3. Regularization and Variance Stabilization of high-dimensional data.
  4. Statistical Computing: Monte-Carlo methods. Parallel computing. Computational complexity (algorithmic and memory) of large datasets.

Contact Info

Case Western Reserve University
Center for Proteomics and Bioinformatics
10900 Euclid Ave., BRB 936
Cleveland, OH 44106-4988
Phone: (216) 368-3157
Fax: (216) 368-6846

My Research

My Publications