Dr Chetan Deva
- Position: Lecturer in Machine Learning for Climate and Atmospheric Science
- Areas of expertise: seasonal forecasting; multispectral imaging; statistics; machine learning; remote sensing; python, 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 within climate impacts. My work has focused on development of forecasting models of crop production for early warning and early action, helping crop breeders to identify heat tolerant varieties and uncovering the genetic and environmental drivers of flowering time in plants. I am particularly interested in explainable machine learning approaches that allow me to co-produce the models I am building with partners and generate new scientific hypotheses.
Research interests
- Seasonal forecasting of crop production using remote sensing and machine learning.
- 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
Qualifications
- BA Economics and Philosophy
- MA Climate and Society
- MSc Development Economics
- PhD Climate and Atmospheric Science
Professional memberships
- Royal Meteorological Society