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Dr. Clarke's research interests encompass statistical methodology (with an emphasis on high dimensional and predictive methods), statistical computation, bioinformatics/computational biology, multi-type data analysis, data mining/machine learning, and bacterial genomics/metagenomics (gut function initiative).
- B.A., Psychology, Skidmore College
- B.A., Mathematics, Skidmore College
- M.S., Statistics, Carnegie Mellon University
- Ph.D., Statistics, Pennsylvania State University
Teaching and/or Extension Activities
- Director of the Quantitative Life Science Initiative. Dr. Clarke works with the Associate Vice Chancellor for the Life Sciences to enable and integrate 'big data' sciences at UNL and across the University of Nebraska system.
- Clarke, J., Penas, C., Pastori, C., Komator, R., Bregy, A., Shah, A., Wahlestedt, C., and Ayad N. Epigenetic pathways and glioblastoma treatment. Epigenetics, 8 (8), 2013.
- Clarke, J., Clarke, B. and Yu, C.-W. Large Bayes prediction via the posterior weighted median for M-complete problems, a complexity perspective. Bayesian Analysis, forthcoming article, June 2013. ISSN Print/Online: 1936-0975/1931-6690
- Valdes, C., Seo, P., Tsinoremas, N., and Clarke, J. Characteristics of cross-hybridization and cross-alignment of expression in xenograft samples by RNA-seq and microarrays. Journal of Clinical Bioinformatics 2013, 3:8. DOI:10.1186/2043-9113-3-8
- Iorns, E., Drews-Elger, K., Ward, T., Dean, S., Clarke, J., Berry, D., El-Ashry, D., and Lippman, M. A new mouse model for the study of human breast cancer metastasis. PLoS ONE 7(10): e47995. doi:10.1371/journal.pone.0047995 2012.
- Clarke, B., Clarke, J., and Yu, C.-W. Statistical problem classes and their links to information theory.
Econometric Reviews (Special Issue on Bayesian Inference and Information Theoretic Methods: In Memory of Arnold Zellner), accepted for publication posted online: 24 May 2013. DOI:10.1080/07474938.2013.807190