School of Biosciences
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Dov Stekel

Professor of Computational Biology, Faculty of Science



I am Associate Professor of Integrative Systems Biology at the Multidisciplinary Centre for Integrative Biology, School of Biosciences, University of Nottingham. I studied mathematics at Trinity College, Cambridge and for a D.Phil. at theDepartment of Zoology, University of Oxford, supervised by Martin Nowak. My D.Phil. topic was on mathematical modeling of T lymphocyte recirculation and virus dynamics. Following my D.Phil., I worked briefly with Boris Vojnovic at the Gray Laboratory, before taking a position in the Bioinformatics group at Glaxo Wellcome Research and Development(as it was), and then as Head of Bioinformatics at Ed Southern's microarray company, Oxford Gene Technology. I left OGT after receiving a commission from Cambridge University Press to write Microarray Bioinformatics, and worked as a free-lance bioinformatics consultant during that time. In 2004 I took the position as Lecturer in Bioinformatics at theSchool of Biosciences, University of Birmingham and in 2009 moved to the University of Nottingham to take my current post.

Teaching Summary

I teach on a range of modules associated with mathematical and computer modelling in the biological and environmental sciences. Specifically:

  • Foundation Science (D211E2) - Year 1
  • Computer Modelling in Science: Introduction (D224E4) - Year 2
  • Computer Modelling in Science: Applications (C135E9) - Year 3
  • Transferrable Skills (D24PG4) - MRes Advanced Genomics and Proteomics

Research Summary

We use mathematical, computing and statistical techniques to build predictive models for biological systems. There are three main areas of activity:

  • Antimicrobial resistance. We use mathematical and computer models at both molecular and population levels to study mechanisms for, and spread of, antimicrobial resistance. Past work has included modelling plasmid regulation, and models for molecular mechanisms for antimicrobial metals, including zinc and mercury. We have also carried out in silico evolution of gene network responses to antimicrobial agents. Current work is focussed on the emergence of antimicrobial resistance in the environment, especially in agriculture.
  • Model-driven data analysis. We combine mathematical models with Bayesian methods with the aims of best interpretation of experimental data. We have recently been funded by BBSRC to apply these approaches to bioluminescent reporters and to Biolog Phenotype arrays, with applications in brewing, bioenergy and food safety. We have also taken these approaches into our mechanistic AMR modelling activities.
  • Quantitative bioinformatics. We retain an interest in using statistical and machine learning techniques as applied to large scale quantitative data sets from Omics technologies, including transcriptomics, proteomics and metabolomics.

We try, where possible, to work on projects with active collaborations with experimental biologists. While our main focus is on microbiology, we are happy to foster collaborations with scientists working in any area of biology, and this range is reflected in our publications.

Selected Publications

School of Biosciences

University of Nottingham
Sutton Bonington Campus
Nr Loughborough
LE12 5RD, UK

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