September 2015 - present, Lecturer, School of Biological Sciences, University of Essex, Colchester UK. June 2014 - September 2015, Research Associate, The Sainsbury Laboratory, University of Cambridge, Cambridge UK. May 2011 - April 2014, MRC Bioinformatics Training Fellow, Department of Genetics, University of Cambridge, Cambridge UK. October 2010 - March 2011, Research Associate, Centre for Molecular Processing, University of Kent, Canterbury UK.

Mechanistic understanding of gene regulation Diffusion of transcription factors Noise in gene expression DNA methylation Methods and software

Zabet, N. R.1c & Adryan, B (2015), ‘Estimating binding properties of transcription factors from genome-wide binding profiles’, Nucleic Acids Research 43(1): 84-94, doi: 10.1093/nar/gku1269. Schoech, A. P. & Zabet, N. R.c (2014), ‘Facilitated diffusion buffers noise in gene expression’, Phys. Rev. E 90(3): 032701, doi:10.1103/PhysRevE.90.032701. Ezer, D; Zabet, N. R.1c & Adryan, B (2014), ‘Homotypic clusters of transcription factor binding sites: A model system for understanding the physical mechanics of gene expression’, Computational and Structural Biotechnology Journal, 10(17): 63-69, doi:0.1016/j.csbj.2014.07.005. (Review Article) Ezer, D; Zabet, N. R.1c & Adryan, B (2014), `Physical constraints determine the logic of bacterial promoter architectures’, Nucleic Acids Research, 42(7): 4196-4207, doi:10.1093/nar/gku078. Zabet, N. R.1c; Foy, R & Adryan, B (2013), `The influence of transcription factor competition on the relationship between occupancy and affinity', PLoS ONE, 8(9): e73714, doi:10.1371/journal.pone.0073714. Zabet, N. R.1c & Adryan, B (2013), `The effects of transcription factor competition on gene regulation’, Frontiers in Genetics 4: 197, doi:10.3389/fgene.2013.00197. Zabet, N. R.1c (2012),`System size reduction in stochastic simulations of the facilitated diffusion mechanism', BMC Systems Biology 6 (1): 121, doi:10.1186/1752-0509-6-121. Zabet, N. R.1c & Adryan, B (2012),`Computational models for large-scale simulations of facilitated diffusion', Molecular Biosystems 8 (11): 2815-2827, doi:10.1039/C2MB25201E. (Review Article) Zabet, N. R.1c & Adryan, B (2012),`A comprehensive computational model of facilitated diffusion in prokaryotes', Bioinformatics 28 (11): 1517-1524, doi:10.1093/bioinformatics/bts178. Zabet, N. R.1c & Adryan, B (2012),`GRiP: a computational tool to simulate transcription factor binding in prokaryotes', Bioinformatics 28 (9): 1287-1289, 2012, doi:10.1093/bioinformatics/bts132. Chu, D. F.; Zabet, N. & von der Haar, T. (2012),`A novel and versatile computational tool to model translation', Bioinformatics 28(2), 292-293. doi: 10.1093/bioinformatics/btr650. Zabet, N. R.1c (2011), `Negative Feedback and Physical Limits of Genes', Journal of Theoretical Biology 248(1), 82-91. doi: 10.1016/j.jtbi.2011.06.021 Chu, D. F.; Zabet, N. R. & Hone, A. N. W. (2011), `Optimal parameter settings for information processing in gene regulatory networks', BioSystems 104(2-3), 99-108. doi: 10.1016/j.biosystems.2011.01.006. Zabet, N. R.1c & Chu, D. F. (2010), `Computational limits to binary genes', Journal of the Royal Society Interface 7(47), 945-954. doi: 10.1098/rsif.2009.0474. Chu, D.; Zabet, N. R. & Mitavskiy, B. (2009), `Models of transcription factor binding: Sensitivity of activation functions to model assumptions', Journal of Theoretical Biology 257(3), 419-429 doi:10.1016/j.jtbi.2008.11.026.