University of Oxford
Razi earned his PhD in Environment and Sustainability from University of Saskatchewan, Canada, in 2019. He joined the University of Oxford’s School of Geography and the Environment as a Postdoctoral Research Associate in 2020 to work on the relationship between livestock production and water, with a particular focus on water quality. His research strives to answer fundamental water-related questions using applied mathematical modelling with a broad range of statistical and analytical tools. This includes machine learning techniques, data driven models, meta-heuristic optimization algorithms, uncertainty and sensitivity analysis methods.