I’m an ecologist with a background in computer engineering that have found my perfect scientific niche within the field of theoretical ecology. I have a broad interest in the ecological and evolutionary processes that governs the ‘tangled bank’ and underpins the ‘balance of nature’ of natural ecosystems. In my research I focus on the effects of environmental variation and within- and between species interactions on the dynamics, stability and functioning of ecological networks.

Currently, I’m a NERC-funded postdoc at Swansea University working together with Mike Fowler (Swansea) and Steve Sait (Leeds University). We study a host-parasitoid system and combine theoretical and experimental approaches to investigate the effects of environmental variation on the ecology and evolution of insect-natural enemy interactions.

Areas of Expertise

  • The dynamics and stability of ecological networks
  • Environmental stochasticity
  • Host-parasitoid systems
  • Computer programming


  1. & Adaptive rewiring aggravates the effects of species loss in ecosystems. Nature Communications 6, 8412
  2. & Seeing Double: Size-Based and Taxonomic Views of Food Web Structure. In Volume 45 of Advances in ecological research - The Role of Body Size in Multispecies Systems. (pp. 67-133). Academic Press.
  3. (2016). Structure and Stability of Ecological Networks : The role of dynamic dimensionality and species variability in resource use. (Doctoral Thesis). Linköping, Sweden: Linköping University.


  • BIOM25B Science Skills and Research Methods

    This intensive lecture and practical based module covers science skills for students wishing to pursue postgraduate studies, including MSc, MRes, MPhil and PhD degrees. It will teach students how to make good use of library and internet resources (including Web of Science, Voyager and Blackboard), to design and analyse their experiments, and to make presentations of their data during conferences and symposia. It will provide PG students in the Department of Biosciences (and other Departments in the College of Science) with the research and analytical skills necessary to carry out their research projects. It will teach them how to formulate and test scientific hypotheses, and how to generate and analyse scientific results using a variety of research methods. Lecture topics include Reporting and Presentation skills, Numerical skills, Philosophy and Methodology of Science, and Biostatistics. The lectures are taught during the first part of the Semester. The module is examined through a combination of CA (50%) and Examination in the form of a MCQ test (50%). Basic reading: Whitlock, M. and Schluter, D. (2014) The Analysis of Biological Data (Roberts & Co.). Crawley, M.J. (2005) Statistics: An Introduction Using R (Wiley). Original research papers given in reading list