Christopher Bowden

Christopher Bowden

Dr

Personal profile

Overview

Chris is a Postdoctoral Research Associate in the Dept. of Civil Engineering and Management at the University of Manchester. His research is centred on improving the resilience of agricultural production and water use to climate change impacts, specifically using a combination of crop-climate and machine learning models. Chris is also a developer of the open source crop model AquaCrop-OSPy, he has engaged with industry in application of the model's insights and is actively looking for further collaborations. Previously, Chris' research has focused on improving the resilience of rice production in India using machine learning during his PhD, and improving wheat yields in the UK, both as a MSc researcher at the John Innes Centre and as a wheat breeder for Limagrain.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 1 - No Poverty
  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 5 - Gender Equality
  • SDG 6 - Clean Water and Sanitation
  • SDG 7 - Affordable and Clean Energy
  • SDG 10 - Reduced Inequalities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land
  • SDG 16 - Peace, Justice and Strong Institutions
  • SDG 17 - Partnerships for the Goals

Education/Academic qualification

Master in Science, MSc Bioinformatics and Systems Biology, The University of Manchester

1 Sept 201830 Sept 2019

Award Date: 30 Sept 2019

Master in Science, MSc Plant Genetics and Crop Improvement

1 Sept 201531 Mar 2017

Award Date: 31 Mar 2017

External positions

Assistant Wheat Breeder, Limagrain UK Ltd

4 May 20164 Nov 2017

Areas of expertise

  • SB Plant culture
  • Plant Breeding
  • Yield Variability
  • Climate-Crop Modelling
  • Q Science (General)
  • Climate Change
  • Machine Learning
  • Big Data
  • Statistical Modelling
  • Extreme Climate

Research Beacons, Institutes and Platforms

  • Manchester Environmental Research Institute

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