Information and Computational Sciences Archives - Page 3 of 5 - James Hutton Institute

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Updates on our research, collaborations and exciting contributions from the scientists and experts at The James Hutton Institute.

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Damian Bienkowski

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.

Sebastian Raubach

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.

Jagadeesh Yeluripati

I have a background in environmental science and engineering. Over the past 15 years I have been conducting interdisciplinary research

Peter Skelsey

I am a plant disease epidemiologist specialising in data mining, machine learning, ArcGIS, simulation modelling, and the development of decision

Chen Wang

Dr Chen Wang is a Landscape and Visualisation Scientist, who joined the Information and Computational Sciences group at the James Hutton Institute in 2010.

Mads Troldborg

I am an environmental engineer with interest and expertise in environmental risk assessment, uncertainty estimation and modelling of environmental systems.

Doug Salt

Doug Salt did a degree in Mathematical and Computing Sciences during working as a professional software developer and engineer in

Runxuan Zhang

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.

Gillian Donaldson-Selby

Gillian has a Masters in Environment and Development from the Centre for Environment, Agriculture and Development, University of KwaZulu-Natal, Pietermaritzburg,

David Donnelly

David graduated in 1987 with a BSc in Topographic Science from Glasgow University and in 2009 completed an MSc in Geographic Information Science at Birkbeck College, University of London.