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I am a post-doctoral researcher currently employed within the Innovate UK funded project “In-Field Optical Detection of Potato Disease (Poptical)”. As such it is my role to design, establish, maintain and perform plant disease diagnostics on field and greenhouse trials that aim to determine which diseases of potato plants can be detected (and differentiated) by proximal sensing technologies such as UAV-captured imagery and field spectrometry.
Dimitris was awarded a Bsc in Applied Mathematics and Physics from the National University of Technology in Athens (Greece) before
I am a Research Software Engineer (RSE) working as part of the Information & Computational Sciences (ICS) Department. I am responsible for the conceptualisation, management and development of cutting-edge mobile applications, databases and web applications for funders (BBSRC, EU, CGIAR, Crop Trust, Norwegian Government) as well as commercial breeding companies through James Hutton Limited (JHL). My role is to drive the development of software solutions for plant genetic resources collections, phenotypic data collection and visualization tools.
I am a plant disease epidemiologist specialising in data mining, machine learning, ArcGIS, simulation modelling, and the development of decision
Gaynor Malloch is a Research Scientist working within the entomology team led by agroecologist Alison Karley, collaborating in studying pest
I completed my PhD in Biological Sciences at the University of Dundee in 1990, and then over the next 10 years worked as a World Bank-consultant in Brazil and the Philippines where I specialised in the localisation of N-fixing bacteria in sugarcane and rice using electron microscopy.
Ashleigh’s research interests are in microbial pathogenicity and attachment to the rhizosphere. She has investigated the molecular mechanisms of Enterohaemorrhagic
Runxuan is a computational biologist, who was trained in machine learning and artificial neural networks for his PhD. His 20 years of research have focused on developing computational and analysis methods/tools for high throughput experimental data, such as RNA-seq for gene expression analysis. His team has published several widely used and easily accessible software and tools for analyzing sequencing data.
