Dr Chetan Deva
- Position: Lecturer in Machine Learning for Climate and Atmospheric Science
- Areas of expertise: Early warning; Seasonal forecasting; Machine learning; Non-parametric statistics; Remote sensing; Multispectral imaging; Crop breeding
- Email: C.R.Deva@leeds.ac.uk
- Website: Googlescholar
Profile
I am an interdisciplinary scientist working to understand the impact of weather and climate on food systems. I use statistical learning in combination with large data sets to explore a range of topics in early warning and food security. My current work is focused on the use of machine learning to improve the skill and resolution of forecasting systems across weather-seasonal timescales.I aim to build more skilful models and develop explainable approaches to better understand how they work. I have a particular interest in using big data sets of crop performance to explore the determinants of heat and drought tolerance in plants.
Research interests
- Machine Learning for early warning in weather, climate and crop production
- Crop breeding for stress tolerance
- The genetic and environmental drivers of flowering in plants
- Integrating machine learning in modelling plant processes
- Land surface – atmosphere interactions in the development of heatwaves
Co-investigator (Co-I)
Qualifications
- BA Economics and Philosophy
- MA Climate and Society
- MSc Development Economics
- PhD Climate and Atmospheric Science
Professional memberships
- Royal Meteorological Society