The big picture: using wildflower strips for pest control
They may be beautiful, but these strips prove pretty deadly for every farmer's mortal enemy: aphids
Science
Dr John Addy
Statistician - Statistical Data Scientist
Intelligent Data Ecosystems
PUBLICATIONS
Email
john.addy@rothamsted.ac.ukTwitter
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Location
Rothamsted Research, Harpenden, AL5 2JQ
Professional Platforms
ORCID
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Biography
John is an applied Bayesian statistician with a strong research interest in applying complex statistical methods to understand the impact of climate change on ecology and agriculture. During his PhD, John worked on identifying the impacts of climate change on wheat, barley and hay using data from the Rothamsted Long-Term Experiments. John's main statistical research areas of interest include Applied Bayesian methods, functional analysis and variance models, with experience in Markov Chain sampling, linear mixed models, generalised linear models, geospatial modelling, integrated omics analyses, and multivariate analysis. Statistical topics of particular interest include Bayesian semi non-parametric functions, integrated Horseshoe priors, variance parameterisation of Generalised Linear Models and advanced time series modelling such as ARCH and GARCH processes.
Awards
- 2018 - PhD in Agriculture, University of Reading and Rothamsted Research
- 2015 - MSc Statistics, The University of Leeds
- 2014 - BSc Mathematics, Coventry University
Measures of Esteem
2023 - Invited Speaker, Royal Statistical Society International Conference: Harrogate, Royal Statistical Society
2022 - International Biometric Conference Travel Bursary Award, International Biometric Society
2016 - Graduate Statistician, Certificate Royal Statistical Society
2016 - Member of Royal Statistical Society
2016 - Member of International Biometric Society
2015 - Lawes Agricultural Trust Ph.D. Studentship