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Mr Nick Taylor

Post Graduate Student
Mr Nick Taylor
c/o Melanie Hills
Department of Plant Sciences
University of Cambridge
Downing Street

Cambridge CB2 3EA

Biography:

I began the BBSRC Cambridge DTP program in October 2018, carrying out rotation projects with Dr Nik Cunniffe in the Theoretical and Computational Epidemiology lab in Plant Sciences, and with Dr Anyela Camargo at NIAB. The rotation with Dr Cunniffe addressed fungicide resistance, and the rotation with Dr Camargo involved using machine learning to develop a pipeline for automated disease diagnosis. I graduated with an MMath from the University of Oxford in 2018.

Research Interests

My research uses mathematical modelling and simulations to inform optimal plant disease management strategies. I focus on management of fungicide resistance, using a population dynamics approach. Spatio-temporal models can be used to inform optimal resistance management strategies whilst maintaining good yields, with greater flexibility and reduced cost compared to field trials. I am interested in combining analytical results derived from simpler mathematical models with numerical results from more precisely parameterised simulation models to inform real-world disease management strategies.

More generally my research interests lie within mathematical biology and applied mathematics, including dynamical systems, partial differential equations and mathematical ecology.

Teaching

I supervise Part IA Mathematical Biology for St. Catharine's College. I have also supervised students from Corpus Christi College, Fitzwilliam College and Murray Edwards College.

Other Professional Activities

I also did some modelling of the COVID-19 pandemic, developing a platform to educate others about the role of mathematical modelling in management of disease pandemics. The platform features educational content from Dr Cerian Webb, and a data feed courtesy of PhD student Daniel Muthukrishna. It was publicised by University of Cambridge here: https://www.cam.ac.uk/research/news/interactive-tool-shows-the-science-behind-covid-19-control-measures

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The Department has carried out a comprehensive COVID-19 risk assessment process and has opened to allow research work to take place. To ensure the safety of our staff, a range of measures to reduce building occupancy and allow strict social distancing have been introduced, including increased cleaning and hygiene regimes. We are currently not accepting visitors so please continue to contact us by email until further notice.