Grzegorz A. Rempala


Phone: 292-0006

1841 Neil Ave
226 Cunz Hall
Columbus, OH, 43210

Research Interests

Complex Stochastic Systems Theory
Molecular Biosystems Modeling
Mathematical and Statistical Methods in Genomics


DSc, Habilitatus (post-doctoral degree), Warsaw Technical University
PhD, Applied Mathematics (US degree conferral), University of Warsaw
PhD, Mathematical Statistics, Bowling Green State University
MA, Summa Cum Laude Mathematics, University of Warsaw

Selected Publications

Cebula, A., Seweryn, M., Rempala, G. A., (..) Ignatowicz, L. Thymus-derived regulatory T-cells control tol- erance to commensal microbiota. Nature, 497 258–262 (2013). DOI:10.1038/nature12079

Bobecka,K, Hitczenko, P., Lo ́pez-Bla ́zquez, F., Rempala, G.A. and Wesolowski, J. Central limit theorems through factorial cumulants and partitions identities. Combinatorics, Probability and Computing, 22(2): 213–240 (2013). DOI: 10.1017/S0963548312000545

Kim J, Li J, Venkatesh SG, Darling DS, Rempala G.A. Model Discrimination in Dynamic Molecular Systems: Application to Parotid De-differentiation Network. Journal of Computational Biology 20(7):524-39 (2013). DOI: 10.1089/cmb.2011.0222.

Rempala, G.A. and Seweryn, M. Methods for diversity and overlap analysis in T-cell receptor populations. Journal of Mathematical Biology (2013). In press. DOI: 10.1007/s00285- 012-0589-7

Green, J., Birtwistle, M., Ignatowicz, L. and Rempala, G.A. Bayesian multivariate Poisson abundance models for T-cell receptor data. Journal of Theoretical Biology, 7; 326:1–10 (2013). DOI: 10.1016/j.jtbi.2013.02.009.

Rempala, G.A. Least squares estimation in stochastic biochemical networks. Bull Math Biol. Aug;74(8):1938-55 (2012). DOI: 10.1007/s11538-012-9744-y. Epub 2012 Jun 30.

Rempala, G.A. and Choi., B. Inference for Discretely Observed Stochastic Kinetic Networks with Applications to Epidemic Modeling. Biostatistics (2012) 13(1): 153-165. DOI:10.1093/biostatistics/kxr019

Craciun, G., Kim, J., Pantea C., Rempala G.A. Statistical Model for Biochemical Networks Inference. Communications in Statistics: Simulation and Computation, 42(1): 121–137 (2012). DOI:10.1080/03610918.2011.633200

Rempala, G.A., Seweryn M, Ignatowicz L. Model for comparative analysis of antigen receptor repertoires. Journal of Theoretical Biology Volume 269(1), 1-15 (2011). DOI:10.1016/j.jtbi.2010.10.001

Pietrzak M, Rempala G, Nelson PT, Zheng JJ, Hetman M. Deletion of the Pro-Apoptotic Endoplasmic Reticulum Stress Response Effector CHOP Does Not Result in Improved Locomotor Function after Severe Contusive Spinal Cord Injury PLoS One (2011); 6(7):e22585. Epub 2011 Jul 22. PMID: 21933012

Gill, R, G.A. Rempala and M Czajkowski Confidence Estimation via the Parametric Bootstrap in Logistic Joinpoint Regression. Journal of Statistical Planning and Inference, vol. 139, no 9, pp. 3132-31412 (2009). DOI:10.1016/j.jspi.2009.02.017.

Gheorghe Craciun, Casian Pantea, G.A. Rempala Algebraic Methods for Inferring Biochemical Networks: a Maximum Likelihood Approach. Computational Biology and Chemistry vol. 33, no 5, pp 361-367 (2009). DOI:10.1016/j.compbiolchem.2009.07.014.

Czajkowski, M, Gill, R, and Rempala, G.A. Model Selection in Logistic Joinpoint Regression with Applications to Analyzing Cohort Mortality Patterns. Statistics in Medicine vol. 27, no 9, pp. 1508-1526 (2008). DOI: 10.1002/sim.3034

Rempala, G.A. and Pawlikowska, I. Limit Theorems for Hybridization Reactions on Oligonucleotide Microarrays. Journal of Multivariate Analysis vol. 99, no 9, pp. 2082-2095 (2008). DOI:10.1016/j.jmva.2008.02.014

Rempala, G. A. and Wesolowski J. Symmetric Functionals on Random Matrices and Random Matchings Problems. Springer Series of the Institute for Mathematics and Its Applications. Hardcover, Springer-Verlag, New York 2008 ISBN-13: 978-0387751450

Ball, K., Kurtz, T., Popovic L., and Rempala, G. Multiscale stochastic approximations for biochemical reaction networks. Annals of Applied Probability 16(4), 1925-1961 (2006).

Rempala, G. Ramos, K. and Kalbfleisch, T. A Stochastic Model of Gene Transcription: An Application to L1 Retrotransposition Events. Journal of Theoretical Biology 242 (1), 101-116 (2006).

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