Jean-Eudes (John) Dazard, PhD received his PhD in Bioinformatics from the University of Montpellier, France, in addition to master's degrees in Computer Science from ESIM School of Engineering, France and Statistics from Case Western Reserve University, USA. With a background is in Data Science, his research originally centered on Computational and Statistical Biology with emphasis on developing Data Mining and Machine Learning methods for high dimensional data, as generated by metabolomics, proteomics and sequencing high-throughput technologies. Focus has been in methods development for high-dimensional data: Regularization and Variance Stabilization; Model Selection as applied to Differential Expression and Interaction Problems, Causal Regulatory Network Analysis, and Bump Hunting Problems in Classification, Regression and Survival settings for High-Dimensional Data. Recent focus has been on Gene-Environment interactions problems involving integration of multi-omics data (Genomics, Epigenetics, Proteomics) as well as Deep-Learning analyses of Imaging Variables (MRI scan and GSI aerial pictures/views), Climate Variables, Socio-Economic Variables, and Socio Environmental Determinants of Health as they relate to health outcomes, disparities, and global environmental issues. His interest is also in Statistical Computing and Software Development: He has authored several R packages available in CRAN and GitHub (https://github.com/jedazard).
Awards and Honors
Publications
Book Chapters:
- DIAZ D.A., DAZARD J-E., RAO J.S. Unsupervised Bump Hunting Using Principal Components. In: Ahmed S.E., editor. Big and Complex Data Analysis: Methodologies and Applications. Contributions to Statistics, vol. Edited Refereed Volume. Springer International Publishing, Cham Switzerland (2017) 325-345.
Selected Research Articles:
- HE D.*, DAZARD J-E.* (*equal contribution), DURMAZ A., BEBEK G. Integrative Network Analysis Discovers Causal Regulatory Network of System Level Measurements. Recomb (2024). PMCID: pending. doi: pending.
- CHEN Z.*, DAZARD J-E.* (*equal contribution), Khalifa Y., MOTAIREK I., RAJAGOPALAN S., Al-KINDI S. Built Environment Features Obtained from Google Street View Are Associated with Coronary Artery Disease Prevalence: A Deep-Learning Framework. EHJ (2023). PMCID: pending. doi: pending.
- CHEN Z.*, DAZARD J-E.* (*equal contribution), KHALIFA Y., MOTAIREK I., KREATSOULAS C., RAJAGOPALAN S., Al-KINDI S. Deep Learning-Based Assessment of Built Environment and Cardiometabolic Disease Prevalence JAMA (2023). PMCID: pending. doi: pending.
- LIUA T., DIAZ-PACHON D.A., RAO J.S., DAZARD J-E. High Dimensional Mode Hunting Using Pettiest Components Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022):1-13. PMCID: pending. doi: 10.1109/TPAMI.2022.3195462.
- FANG M., RICHARDSON B., CAMERON C., DAZARD J-E*, CAMERON M* (*co-corresponding author). Drug Perturbation Gene Set Enrichment Analysis (dpGSEA): a drug perturbation-defined gene set enrichment approach. BMC Bioinformatics (2021) 22(1):1-14. PMCID: PMC7805197.
- RAO J.S., YU H., DAZARD J-E. Disparity Subtyping: Bringing Precision Medicine Closer to Disparity Science. Cancer Epidemiology Biomarkers & Prevention (2020) 29(6 Suppl):C018.
- DIAZ-PACHON D.A., SAENZ J.P., RAO J.S., DAZARD J-E. Mode Hunting through Active Information. Applied Stochastic Models in Business and Industry (2019) 35(2):376-393. PMCID: PMC8204749.
- DIAZ D.A., RAO J.S., DAZARD J-E. On the Explanatory Power of Principal Components (2014) http://arxiv.org/abs/1404.4917
- DAZARD J-E., ISHWARAN H., MEHLOTRA R.K., WEINBERG A., ZIMMERMAN P.A. Ensemble Survival Tree Models to Reveal Pairwise Interactions of Variable with Time-to-Events Outcomes in Low-Dimensional Setting. Statistical Applications in Genetics and Molecular Biology (2018) 17(1):20170038. PMCID: PMC5844232.
- STETSON D.M., DAZARD J-E., BARNHOLTZ-SLOAN J. Protein Markers Predict Survival in Glioma Patients. Mol. Cell. Proteomics (2016) 15(7): 2356-2365. PMCID: PMC4937509.
- DAZARD J-E. (corresponding author), CHOE M., LEBLANC M., RAO J.S. Cross-validation and Peeling Strategies for Survival Bump Hunting using Recursive Peeling Methods. Statistical Analysis and Data Mining (2016) 9(1):12-42. PMCID: PMC4809437.
- DAZARD J-E. (corresponding author), CHOE M., LEBLANC M., RAO J.S. R package PRIMsrc: Bump Hunting by Patient Rule Induction Method for Survival, Regression and Classification. In JSM Proceedings, Statistical Programmers and Analysts Section. Seattle, WA, USA. American Statistical Association-IMS (2015) p. 650-664. PMCID:PMC4718587.
- DAZARD J-E. (corresponding author), CHOE M., LEBLANC M., RAO J.S. Cross-Validation of Survival Bump Hunting using Recursive Peeling Methods. In JSM Proceedings, Survival Methods for Risk Estimation/Prediction Section. Boston, MA, USA: American Statistical Association-IMS (2014) p. 3366-3380. PMCID: PMC4795911.
- DAZARD J-E. (corresponding author), SANDLERS Y., DOERNER S, BERGER N.A., BRUNENGRABER H. Metabolomics in APCMin/+ Mice Genetically Susceptible to Intestinal Cancer. BMC System Biology (2014) 8:72-93. PMCID: PMC4099115.
- DAZARD J-E. (corresponding author), SAHA S., EWING R.M. ROCS: A Reproducibility Index and Confidence Score for Interaction Proteomics Studies. BMC Bioinformatics (2012) 13(1) 128. PMCID: PMC3568013.
- DAZARD J-E. (corresponding author), RAO J.S. MARKOWITZ S. Local Sparse Bump Hunting Reveals Molecular Heterogeneity of Colon Tumors. Statistics in Medicine (2012) 31(11-12), 1203-1220. PMCID: PMC3668571.
- DAZARD J-E. (corresponding author), RAO J.S. Joint Adaptive Mean-Variance Regularization and Variance Stabilization of High Dimensional Data. Comput. Statist. Data Anal. (2012) 56(7): 2317-2333. PMCID: PMC3375876.
- SCHLATZER D.M.*, DAZARD J-E.* (*equal contribution), EWING R.M., ILCHENKO S., TOMECHEKO S.E., EID S., HO V., YANIK G., CHANCE M.R., COOKE K.R. Human Biomarker Discovery and Predictive Models for Disease Progression in Idiopathic Pneumonia Syndrome Following Allogeneic Stem Cell Transplantation. Mol. Cell. Proteomics (2012) 11(6): 1-15. PMCID: PMC3433920.
- DAZARD J-E. (corresponding author), XU H., RAO J.S. R package MVR for Joint Adaptive Mean-Variance Regularization and Variance Stabilization. In JSM Proceedings, Statistical Programmers and Analysts Section. Miami Beach, FL, USA. American Statistical Association-IMS (2011) p. 3849-3863. PMCID: PMC4725579.
- DAZARD J-E. (corresponding author), RAO J.S. Regularized Variance Estimation and Variance Stabilization of High-Dimensional Data. In JSM Proceedings, High-Dimensional Data Analysis and Variable Selection Section. Vancouver, BC, Canada. American Statistical Association-IMS (2010) p. 5295-5309. PMCID: PMC4727967.
- DAZARD J-E. (corresponding author), Rao J.S. Local Sparse Bump Hunting. J. Comp Graph. Statistics (2010) 19(4): 900-929. PMCID: PMC3293195.
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