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Dr Vasiliki Koutra is a research associate in the Statistics group within the Department of Mathematics. Her research is focused on developing efficient designs on networks and designs for multi-objective experimentation. These designs can be applicable in a wide variety of marketing, agricultural, healthcare and industrial contexts. Vasiliki received a PhD in Statistics from the University of Southampton in 2017; the title of her thesis was “Designing experiments on networks”.


Alongside her main research, Vasiliki collaborates with research groups from the Alan Turing Institute and also provides statistical support to medical researchers. Recent example projects include power calculations, factorial designs, and mixed effects models for topics such as cancer research, diabetes and chronic heart failure. She is a chartered statistician and Fellow of the Royal Statistical Society and a Fellow of the Greek Statistical Institute.


Previously, she has held roles at the University of Southampton, King’s and Rothamsted Research. She was a senior medical statistician in the Faculty of Medicine at the University of Southampton, where she provided methodological and statistical expertise on numerous research projects and research grant applications to a range of UK Research Councils. She has also been a visiting lecturer at King’s, where she taught a large undergraduate statistical modelling course. Prior to these posts, she has worked in both the Applied Statistics and the Bioinformatics groups within the Computational and Systems Biology department at Rothamsted Research. She provided statistical support in the design and analysis of experiments, statistical methodology and network analysis in an agricultural/biological science research setting.


Research Interests

  • Statistical methodology, data science, modelling and computing.
  • Optimal experimental design methodology.
  • Structure and dynamics of networks.
  • Applications of statistics in medical, agricultural, and business research.


Further Information

Research profile