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Dr Alexey Mikaberidze

Research and teaching

Areas of interest

Alexey is an interdisciplinary researcher in plant health. Research in his group combines experiments with mathematical modeling/machine learning to investigate plant-pathogen interactions.

Postgraduate supervision

I always have a range of interesting MSc, PhD and postdoc projects, and can advise on funding opportunities for these. I particularly welcome applications from students and young scientists who would like to bridge different disciplines. For example, those with more quantitative training (mathematics, physics, computer science) interested in applying mathematical and computational methods to problems in biology and agriculture. Or those who studied biology or agriculture and would like to become familiar with quantitative methods. Please contact me to learn more.

Research projects

My goal is to understand how populations of plant pathogens change in time and space, integrating ecological, epidemiological, evolutionary and socio-economic dynamics over multiple temporal and spatial scales. In my group, we are collecting large empirical datasets (e.g., phenotypic and genomic), and combining mathematical modelling and machine learning to extract knowledge from data. In the face of global environmental crisis, this systems level understanding is urgently needed to find more efficient and sustainable ways of protecting cultivated and wild plants from infectious diseases.


  • Alexey maintains a YouTube channel DigitalPlantHealth devoted to digital and quantitative approaches to plant health. The videos present recent research in this area in an easy-to-understand manner.
  • Twitter: Alexey Mikaberidze 

Selected publications

An up-to-date list of Alexey's publications on Google Scholar - Alexey Mikaberidze.


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