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Jean-Eudes (John) Dazard, PhD, MS

Research Scientist
Cardiovascular Research Institute
School of Medicine

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. Expertise 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

Research Grant Principal Investigator (R01 CA 160593), 2013-2018
NIH NCI
CoGEC Training Grant Fellow (R25 CA 094186), 2003-2006
NIH NCI
Sir Charles Clore Fellow, 2001-2003
Weizmann Institute of Science, Rehovot, Israel
Research Award (€45,000), 2000-2001
French Society of Dermatology (SFD), Paris, France

Professional Memberships

American Statistical Association
Institute of Mathematical Statistics

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.
  • 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.
  • 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.
  • MOORTHY S.*, DAZARD J-E.* (*equal contribution), CHEN Z., CHARAK R., RENGASWAMY P., DEO S., Al-KINDI S., RAJAGOPALAN S. Non-Traditional Socio-Environmental and Geospatial Determinants of Alzheimer’s Disease-Related Dementia (ADRD) Mortality. Science of The Total Environment (2024).
  • DAZARD J-E. , VERGARA-MARTEL A., BOURGES-SEVENIER B., CONNELY K., EDWARS-GLENN J., GAZTANAGA J., PEREIRA G., CAMERON C., CAMERON M., Al-KINDI S., PITT B., BROOK R., WEIR M., DOBRE M., RAJAGOPALAN S. Integrated multi-omics predictive analysis of atherosclerosis: a sub-study from the Mineralocorticoid Receptor Antagonism in Diabetic Atherosclerosis (MAGMA) trial. EHJ (2024) supplement volume 45. PMCID: 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.

Education

Master of Science
Statistics
Case Western Reserve University
PhD
Bioinformatics
University of Montpellier, France
Master of Science
Computer Science
ESIM School of Engineering, France