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Alexey Mikaberidze

Research and teaching

Areas of interest

I am interested in plant pathology, evolutionary biology, ecology, mathematical modelling and machine learning.

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.